Abstract
The continued influence effect (CIE) refers to the persistent influence of False Information (FI), even after it has been corrected. This effect has been replicated in numerous experiments and carries significant societal implications. While the existing literature provides various explanations for the CIE, a comprehensive synthesis of these explanations remains lacking. This lack of synthesis hinders the ability to optimize recommendations for mitigating the effect and guiding future research. To address this, a conceptual reorganization of existing explanations is proposed within a heuristic framework encompassing three perspectives: cognitive, motivational, and rational. Drawing on this three-dimensional framework, recommendations are provided for mitigating this social issue and guiding future research.
Introduction
False Information (FI), defined here as inaccurate information presented as true, poses a significant societal challenge due to its potential harmful effects on those who believe it. For instance, cancer patients who believe in false claims about oncological treatments may be more likely to reject conventional treatments in favour of unproven therapies (Citrin et al., 2012), to the detriment of their health (Chang et al., 2006). During the COVID-19 pandemic, belief in FI was also associated with vaccine hesitancy (Zimmerman et al., 2023). Similarly, belief in FI about climate change is linked to a lower likelihood of engaging in pro-environmental behaviours or of accepting the scientific consensus about climate change (Drummond et al., 2020; van der Linden, 2015). In the political realm, exposure to FI has been shown to influence voting behaviours and intentions (Cantarella et al., 2023; Swami et al., 2018).
Several strategies exist to reduce the influence of FI, such as government interventions to limit their dissemination, or the use of prebunking, which involves preemptively warning individuals about potential misinformation or misleading techniques, often with weakened and contextualized doses of misinformation (Alemanno, 2018; Roozenbeek et al., 2020; Treen et al., 2020). Another commonly employed strategy is correction. For instance, online users may inform others that what they have shared is unfounded. Many fact-checking organizations (e.g., https://factuel.afp.com/) also work to improve public information quality by correcting disseminated FI. An implicit assumption underlying the effectiveness of this strategy is that a correction would lead individuals who initially believed in FI to abandon their adherence to it (Simis et al., 2016).
However, this assumption is challenged by a significant body of literature showing that correcting FI can be insufficient or even ineffective in reducing belief in the misinformation. This phenomenon is known as the “Continued Influence Effect” (CIE, Johnson & Seifert, 1994). This effect was clearly illustrated in the study of Johnson and Seifert (1994). Participants were exposed to a text describing firefighters responding to a warehouse fire. One group read a version of the text containing FI that was later corrected, while another group read the same text without any FI. Concretely, the first group learned that flammable materials stored in a closet may have contributed to the fire, before being informed by a police officer that the closet was actually empty. The term “CIE text” is used to describe such texts that include FI subsequently corrected. The second group learned directly that the closet was empty. All participants then answered inferential questions such as “What might have caused the explosions?”. Results showed that participants who received the CIE text continued to refer more frequently to notions of flammable materials to explain the event compared to the control group (Johnson & Seifert, 1994; see Laurent et al., 2023, for a replication of this finding). Several studies have demonstrated the societal implications of this effect, observing that the influence of FI related to medical treatments (MacFarlane et al., 2018), climate change (Drummond et al., 2020) or politicians (M. S. Cohen et al., 2024; Fenger & Vinæs Larsen, 2026; Guillory & Geraci, 2013) persists in cognition despite correction.
The literature has identified numerous factors that may explain the CIE. These include the assessment of the credibility of the correction or the misinformation (Ecker & Antonio, 2021; Guillory & Geraci, 2013; O’Rear & Radvansky, 2020), motivated reasoning (Bolsen & Druckman, 2018; Cook & Lewandowsky, 2016; Jin et al., 2022), the failure to integrate the correction into the mental model (Ecker, Lewandowsky, Swire, et al., 2011) or to activate FI during correction (Ithisuphalap et al., 2020; Van Den Broek & Kendeou, 2008), a cognitive competition between the FI and the correction (Ecker, Lewandowsky, Swire, et al., 2011), or resistance to accepting incomplete mental models (Johnson & Seifert, 1994; Susmann & Wegener, 2021).
However, despite these numerous explanations, a comprehensive understanding of the phenomenon remains lacking. A recent review (Ecker et al., 2022) has summarized cognitive explanations (e.g., competition of activation between initial information and the correction, failures in integration or memory retrieval), as well as social and affective factors (e.g., the credibility of the correction or the FI, consistency between the individual’s worldview and the correction). Nonetheless, this synthesis remains largely descriptive and lacks a conceptual organization of the underlying mechanisms. Moreover, some explanations, such as resistance to accepting incomplete mental models (Johnson & Seifert, 1994; Susmann & Wegener, 2021), were not addressed.
To address this gap, the present article proposes a conceptual reorganization of these explanations within a heuristic framework structured around three dimensions: cognitive, motivational, and rational. This framework aims to guide the interpretation of empirical results, support hypothesis formulation, and identify conditions under which corrections are effective. Based on this framework, practical recommendations and directions for future research are provided.
A Three-Dimensional Framework
The three dimensions were derived using both a thematic approach and insights from the existing literature. For instance, Connor Desai et al. (2020) proposed a rational approach, and Ecker et al. (2022) synthesized a range of cognitive factors. In addition, a motivational dimension was introduced to capture explanations that share a common underlying theme, namely the motivation to reject the correction. No additional dimension was deemed necessary to provide a comprehensive framework.
Cognitive Dimension
A first theoretical perspective on the CIE suggests that it results, in part, from cognitive processes (Ecker et al., 2022). As highlighted by Amazeen and Krishna (2024), these processes are based on the Knowledge Revision Components (KReC) model (KReC; Kendeou, 2024; Kendeou et al., 2014).
Mental Model Updating
A first hypothesis of the KReC (Kendeou et al., 2014) posits that individuals construct dynamic and coherent mental models of the situations they encounter, based on the information they receive. A second hypothesis suggests that when new information, such as a correction of FI, contradicts previously acquired knowledge, the mental model should be updated accordingly. According to the KReC, updating a mental model is guided by five key principles: encoding, passive activation, coactivation, integration, and activation competition. The first principle states that once information is encoded, it is stored in memory and cannot be entirely erased. The second principle explains that encoded information remains available for activation in memory, automatically and passively, when triggered by a related environmental stimulus. For example, upon receiving a correction, the FI is likely to be passively activated due to its conflictual relationship with the correction. This passive activation of the FI leads to the third principle, coactivation, wherein both the FI and the correction are simultaneously activated in memory. From this state of coactivation, individuals may proceed to update their mental model by integrating the correction (fourth principle). The final principle, activation competition, posits that even after a correction has been successfully integrated, the FI can still be reactivated when the mental model is later invoked. From these principles, two key moments emerge as particularly prone to the CIE. The first occurs when the correction is initially received, and the second arises when the mental model is subsequently invoked.
Failure in Mental Model Updating
The first critical moment prone to the occurrence of a CIE is when the correction is received. At this stage, a CIE may arise from a failure to update the mental model. This failure can result from two processes. The first is a failure to activate the FI, and the second is a failure to integrate the correction into the mental model.
Failure to Activate the FI
A failure to activate the FI when receiving the correction is one process that could impede updating the mental model. This failure is possible if the conflict with the correction is not detected. For example, in Johnson and Seifert’s (1994) experiment, a participant might read that the closet was empty without realizing that this implies the absence of flammable materials in the room. If the conflict between the FI and the correction is undetected, the FI would remain inactive, preventing the correction from being integrated into the model. Consequently, the influence of the FI would persist (Van Den Broek & Kendeou, 2008).
An experiment by Ithisuphalap et al. (2020) provides evidence supporting the hypothesis that a failure to activate FI during correction contributes to the CIE. Participants were exposed to several texts prone to inducing the CIE. One group was instructed to evaluate their belief in the FI prior to encountering its correction, while another group received no such instruction. Results indicated that reflecting on the FI before its correction reduced the CIE. The authors suggested that this moment of reflection increased the accessibility of the FI in memory, facilitating its activation during correction encoding. Another study (Rich & Zaragoza, 2015) presented participants with a text in which the FI was either implicit or explicit. The findings revealed a less pronounced CIE when the FI was explicit. A likely explanation is that explicit FI is more accessible in memory and, consequently, more easily reactivated upon encountering the correction.
Failure to Integrate the Correction
A second process that could lead to a failure to update the mental model is the failure to integrate the correction. Integration requires substantial cognitive resources to perform several tasks, such as activating the mental model, acknowledging the conflict between the correction and the FI, and incorporating the falsehood of the FI, all while processing new information from the external environment. Therefore, if cognitive resources are insufficient at the time the correction is received, this integration process may be disrupted, ultimately preventing the mental model from being updated effectively.
Experiments supporting the hypothesis that a failure to integrate the correction contributes to the CIE have exposed participants to FI followed by its correction. In these studies, some participants were subjected to a cognitive load while receiving the correction. The findings revealed that adding this cognitive load amplified the CIE, suggesting that the additional mental demands impaired the integration process (Ecker, Lewandowsky, Swire, et al., 2011; Sanderson et al., 2023).
Additional studies support the hypothesis of a failure to integrate the correction contributes to the CIE by highlighting a link between working memory capacity and individual susceptibility to this effect. Working memory is a cognitive system that briefly stores information while performing one or more other mental tasks (Conway et al., 2005). The integration of the correction likely requires working memory, as it involves storing the FI, the correction, and the mental model, while processing the falsehood of the FI and incorporating external information. As a result, individuals with greater working memory capacity are expected to be less susceptible to the CIE because they are better equipped to update their mental models efficiently. Empirical evidence support this prediction, revealing a negative linear relationship between working memory capacity and sensitivity to the CIE (Brydges et al., 2018; Jia et al., 2020; McIlhiney et al., 2023; see nonetheless Sanderson et al., 2021).
Activation Competition
In addition to the moment of receiving the correction, a second critical moment for the CIE occurs during the activation competition phase (Kendeou, 2024; Kendeou et al., 2014), when the mental model is invoked and must be retrieved, such as when an inferential question is asked. At this moment, the principle of activation competition suggests that both the FI and the correction should be activated simultaneously. A CIE could then occur if the activation of the FI is stronger than that of the correction, or if the correction is not retrieved from memory at all (Ecker et al., 2010).
Several studies lend support to the hypothesis that activation competition between FI and its correction contributes to the CIE by manipulating the activation potential of the FI. For example, Ecker et al. (2011) observed a stronger CIE when the FI had been repeated within their CIE text, compared to when it was presented only once. Additionally, Ecker et al. (2015) presented participants with a scenario involving two complementary causes, one introduced at the beginning of the narrative and the other at the end. The order of presentation was counterbalanced, and one of the causes was subsequently retracted. The results revealed that the CIE was stronger when the cause presented at the end was retracted, compared to when the initial cause was retracted. Aligned with the activation competition hypothesis, this suggests that the final FI was more readily accessible in memory, making it more likely to be activated during recall.
Other studies have supported the activation competition hypothesis by demonstrating how manipulating the activation potential of the correction affects the CIE. For instance, Ecker et al. (2011) found that the persistence of FI diminished when the correction was repeated, compared to when it was presented only once. Another method for influencing the activation potential of the correction involves varying the delay between its encoding and retrieval. Longer delays are expected to make the correction less accessible in memory, thereby reducing its activation potential. Consistent with this expectation, studies have shown that delays of three days (Skurnik et al., 2005) or seven days (Ecker et al., 2020; Swire et al., 2017; Wahlheim et al., 2025) between encoding the correction and retrieving the mental model led to a stronger CIE compared to conditions with an immediate recall.
In summary, the cognitive dimension highlights three processes that can contribute to the occurrence of the CIE. The first two processes take place during the encoding of the correction: a failure to activate the FI or a failure to integrate the correction into the mental model. The third process occurs when the mental model is invoked, stemming from activation competition between the FI and the correction: if the correction is insufficiently activated to override the influence of the FI, the FI may continue to exert its effect despite the correction being provided.
Motivational Dimension
Another perspective for explaining the CIE is grounded in motivational processes. The general principle of the motivational perspective is that individuals are motivated to reject the correction, which in turn leads to the persistence of the FI’s influence. The literature identifies two main motivations that may underlie this rejection: a reluctance to accept incomplete mental models and a motivation driven by motivated reasoning.
Reluctance to Accept Incomplete Mental Models
Similar to the cognitive perspective, the motivational explanation for the CIE, based on reluctance to accept incomplete mental models, relies on the premise that individuals construct a coherent mental model when processing information about an event or object (Kendeou et al., 2014). A key element of this explanation is that the completeness of a mental model varies depending on the information available. For instance, a complete mental model would encompass both the causes and consequences of an event, whereas an incomplete model might describe the event itself without providing any causal context.
A complementary assumption is that individuals experience discomfort when faced with incomplete mental models. Supporting this idea, an experiment (Susmann & Wegener, 2021, study (2) evaluated participants’ discomfort upon reading the correction in the text used by Johnson and Seifert (1994). The text was modified to manipulate the level of incompleteness resulting from the correction. In one condition, the retracted information was central to the narrative (i.e., the cause of the fire). In another, it had only a peripheral importance (i.e., the identity of the person who raised the alarm). Consistent with the hypothesis that incompleteness affects discomfort, the findings revealed that the correction of central FI was rated as more uncomfortable compared to a peripheral FI.
Building on these assumptions, one potential explanation for the CIE is that corrections create a sense of incompleteness, which in turn generates discomfort. This discomfort may motivate individuals to reject the correction (Susmann & Wegener, 2021). Several studies support the idea that the CIE is influenced by the level of incompleteness left by the correction. For instance, research has shown that FI persists more strongly after correction when it plays a central role in the described scenario, compared to when it has only a peripheral role (Kan et al., 2021). Additionally, providing an alternative explanation alongside the correction significantly reduces the CIE compared to corrections without an alternative explanation (Amazeen & Krishna, 2024; Ecker et al., 2023; Johnson & Seifert, 1994; Kan et al., 2021; Kendeou et al., 2014; MacFarlane et al., 2018). One interpretation of this finding is that alternative explanations fill the gap left in the mental model by the removal of the FI, thereby reducing the discomfort associated with incompleteness. Furthermore, Susmann and Wegener (2021) found that manipulating participants’ discomfort in response to events with incomplete justifications influenced the extent of the CIE. Collectively, these studies highlight that a reluctance to accept incomplete mental models - stemming from the discomfort they create - may play a key role in explaining the persistence of the CIE.
Motivated Reasoning
The motivational explanation of the CIE rooted in motivated reasoning is based on the premise that information processing varies depending on its alignment with an individual’s attitudes (Lord et al., 1979; McHoskey, 1995). For instance, numerous studies demonstrate that information damaging to a political candidate or party generates greater agreement among individuals whose ideology opposes the candidate or party, compared to those who support them (Weeks & Garrett, 2014; Winneg et al., 2005). Similarly, individuals with a conspiratorial worldview are more likely to reinterpret events through a conspiratorial perspective (Zwaan, 2022). This attitude-dependent processing of information can be partly explained by the desire to maintain coherence with one’s social identity (Van Bavel et al., 2024). Another explanation is that, when the subject matter of the information is personally significant, individuals are primarily motivated not by accuracy but by the desire to avoid being wrong (Kahan, 2013; Van Bavel & Pereira, 2018).
Building on this assumption, a plausible explanation for the CIE is that individuals are motivated to reject corrections when they contradict information deemed important to them. Important information could be information that aligns closely with an individual’s attitudes or forms a core part of their social or personal identity. Several studies support this hypothesis by showing that adherence to a pro-conservative misinformation is less effectively reduced by a correction among conservatives compared to Democrats (Ecker & Ang, 2019; Nyhan & Reifler, 2010; Weeks & Garrett, 2014). More broadly, two meta-analyses have confirmed that misinformation is more resistant to correction when the correction is counter-attitudinal (Walter et al., 2019; Walter & Tukachinsky, 2020).
Several empirical findings seem to challenge the hypothesis that motivated reasoning contributes to the CIE. For instance, some studies have found that the counter-attitudinal nature of a correction had no discernible effect on the persistence of FI (Ecker & Ang, 2019; Ecker et al., 2014). However, these null results can likely be explained by the highly specific nature of the misinformation used in these studies, which may have been insufficiently broad or salient to engage participants’ attitudes or ideological frameworks (Ecker & Ang, 2019; Ecker et al., 2014). Consistent with this explanation, when subsequent experiments rephrased the misinformation to be more general and ideologically salient, the expected interaction effect aligning with motivated reasoning was observed (Ecker & Ang, 2019).
Moreover, some studies have found that corrections were unexpectedly more effective when they were counter-attitudinal (Amazeen et al., 2018; Hameleers et al., 2020; Young et al., 2018). One possible explanation for this seemingly contradictory finding is the presence of a floor effect when corrections align with individuals’ attitudes. In these cases, the misinformation itself is counter-attitudinal, meaning that individuals are less likely to fully endorse or strongly believe it in the first place (Lord et al., 1979). As a result, the potential impact of the correction is minimal, as there is little belief to overturn. In contrast, when corrections are counter-attitudinal, the misinformation is more likely to have been accepted and internalized by individuals. This greater initial adherence provides the correction with a larger margin for influence, allowing it to reduce belief in the misinformation more effectively (Amazeen et al., 2018; Hameleers et al., 2020; Young et al., 2018).
Thus, while certain empirical findings appear to contradict the hypothesis of a CIE driven by motivated reasoning, these inconsistencies can likely be attributed to methodological or statistical factors. According to meta-analyses (Walter et al., 2019; Walter & Tukachinsky, 2020), the prevailing consensus is that corrections are generally less effective when they contradict information deemed important by individuals, thus supporting the hypothesis of a CIE driven by motivated reasoning.
Rational Dimension
A final perspective for explaining the CIE frames it as a competition of credibility between the correction and the FI. Here, credibility is defined as believability, resulting from both the credibility of the information source and the inherent plausibility of the information itself (Ecker & Antonio, 2021). As stated in the Misinformation Receptivity Framework (MRF; Zmigrod et al., 2023), individuals evaluate the credibility of information based on characteristics of the source, the information itself, the communication context, and their own characteristics (e.g., worldview). Depending on how these factors differentially shape perceived credibility, individuals may perceive FI as credible and corrections as less credible. The central hypothesis of the rational dimension is that the CIE arises when individuals assign greater trust to the FI than to the correction. This perspective is described as “rational” (Connor Desai et al., 2020) because it is rationally expected that individuals’ beliefs align with information they deem credible and diverge from information they regard as doubtful.
The rational explanation for the CIE is reinforced by research highlighting the variability of this effect when the credibility of the correction is manipulated. For instance, studies have shown that FI persists less when the correction originates from a credible source (Ecker & Antonio, 2021; Guillory & Geraci, 2013; Hey et al., 2025; Sanna & Lagnado, 2025). Further analyses add that the impact of source credibility on the CIE is more closely tied to the perceived reliability of the source than to its expertise (Ecker & Antonio, 2021; Guillory & Geraci, 2013). In another study, participants were asked to directly rate the credibility they attributed to the correction. The findings indicated that the perceived credibility of the correction predicted the number of FI-related inferences: the less credible the correction was deemed, the more the FI persisted (Ecker & Antonio, 2021). Moreover, additional research found that enhancing the perceived credibility of a correction, by incorporating scientific elements or bolstering its social support, significantly reduced the CIE (Butler et al., 2023; Vlasceanu & Coman, 2022; Vraga & Bode, 2017). Another piece of evidence is that the CIE tends to be lower when corrections are repeated, an effect often attributed to cognitive mechanisms (e.g., Ecker et al., 2011) but which may also be explained rationally, as repeated propositions are generally perceived as more credible (Bowes & Fazio, 2026; Dechêne et al., 2010; Fazio et al., 2022).
The rational explanation is further supported by research suggesting that the CIE varies when the credibility of the FI is manipulated. In one experiment, participants read a CIE text where the FI was either atypical (e.g., the fire was caused by satellite debris) or typical (e.g., the fire was caused by gas cylinders). After receiving the correction, results revealed that the FI persisted more strongly when it was typical (Rich et al., 2022, study 2). Similarly, another experiment found that the CIE was higher when the source of the FI was credible (Hey et al., 2025) and decreased when the source’s credibility was lowered (Ecker et al., 2024). Additionally, a meta-analysis comparing effect sizes across numerous studies found that the CIE was more pronounced when the FI came from a source rated as highly credible compared to one rated as less credible (Walter & Tukachinsky, 2020).
Thus, the rational dimension explains the CIE as a competition in credibility between the FI and the correction. This explanation is supported by studies demonstrating variability in the effect when the credibility of these pieces of information is manipulated.
Interaction Between the Three Dimensions
The three dimensions of the CIE were presented separately to simplify their understanding. However, it is important to note that numerous empirical findings suggest these explanations may be interdependent. For instance, research indicates that assessing an information’s credibility partly hinges on the cognitive resources dedicated to processing it. The detection of FI is more likely when individuals are encouraged to critically evaluate its authenticity (Bago et al., 2020) or possess a personal predisposition for deep information analysis (Brashier et al., 2021; Pehlivanoglu et al., 2021; Ross et al., 2021). Moreover, research indicates that the credibility of a source shapes the perceived reliability of its message, but this effect occurs primarily under conditions of superficial message processing (Petty & Cacioppo, 1984, 1986) or when the source of the information is recalled (Amazeen & Krishna, 2023).
There is also evidence suggesting a potential interaction between the cognitive and motivational dimensions, although the effect of this interaction is not yet clearly specified. Some research has indicated that the more cognitive resources individuals allocate to processing counter-attitudinal information of personal significance, the more resistant they may become to its influence (Van Bavel & Pereira, 2018). For example, one study found that individuals who reported greater reflection on counter-attitudinal arguments perceived those arguments as less persuasive (Valli & Nai, 2023). In contrast, other studies have found that increased analysis of information is associated with better detection of FI or a reduced tendency to share it, even when the information aligns with prior attitudes (Pennycook & Rand, 2019; Ross et al., 2021).
Finally, an experiment revealed that when individuals were motivated to defend their attitudes, one strategy they often employ is to question the credibility of the information source (Valli & Nai, 2023). Moreover, research has shown that information is more likely to be deemed credible when it aligns with an individual’s pre-existing attitudes (Amazeen & Krishna, 2023; Zmigrod et al., 2023). These findings suggest that the credibility attributed to both FI and its correction may be influenced by the individual’s motivation to accept or reject the information, pointing to a potential interaction between the motivational and rational dimensions in shaping responses to corrections.
Recommendations and Perspectives
The CIE can be understood through cognitive, motivational, and rational processes, which may interact dynamically. Building on this three-perspective theoretical framework, we propose targeted recommendations to mitigate the effect and provide direction for future research efforts.
Recommendations and Perspectives Based on the Cognitive Dimension
Practical Recommendations
The cognitive perspective offers several practical recommendations for reducing belief in FI. First, because the CIE may arise from a failure to activate the FI at the time of correction, explicitly mentioning the FI within the correction might be an effective strategy. Highlighting the FI alongside the correction could make the conflict between the two pieces of information more salient, thereby increasing the likelihood that the discrepancy is detected and thus resolved. Supporting this perspective, several studies have shown that the CIE is reduced when the FI is mentioned within the correction (Ecker et al., 2017; Kan et al., 2021; Xu et al., 2020). It is worth noting that this recommendation contrasts with earlier guidelines advising against mentioning the FI in corrections (Cook & Lewandowsky, 2012), due to concerns about a potential “boomerang effect”. This effect posits that increased familiarity with the FI, by mentioning it, might inadvertently strengthen belief in it (Skurnik et al., 2005). However, more recent evidence has consistently failed to replicate this phenomenon (Amazeen et al., 2018; Ecker et al., 2023; Wood & Porter, 2016). The only context where caution may still be warranted is when the FI is entirely unknown to the audience (Autry & Duarte, 2021). In such cases, the increase in familiarity introduced by mentioning the FI might be so significant that it outweighs the corrective effect. Therefore, in these situations, it may be prudent to avoid explicitly referencing the FI (Lewandowsky et al., 2020). However, further research is needed to confirm this potential exception.
Furthermore, since the CIE can arise from a failure to integrate corrections due to limited cognitive resources, a second recommendation is to ensure that individuals have sufficient mental capacity available when processing the correction. This recommendation is supported by studies demonstrating that the CIE is reduced when corrections are presented in the absence of additional cognitive load (Ecker et al., 2011; Sanderson et al., 2023). In practical terms, during social interactions, it is advisable for the source of the correction to deliver the correction when the recipient is mentally prepared and able to fully engage with the information. Similarly, on social media platforms, where FI proliferate (Vosoughi et al., 2018) and users often multitask (Jeong & Hwang, 2012), platforms could design corrections in ways that capture attention. This can be achieved by leveraging visual elements such as colour, font size, or layout to increase their prominence and visibility, thereby improving their likelihood of being noticed and processed.
A third recommendation grounded in the cognitive and rational perspective is to repeat the correction. Repetition increases the likelihood that individuals will recognize the conflict between the FI and the correction, integrate the correction into their mental model (Ecker et al., 2011), and perceive the correction as credible (Bowes & Fazio, 2026; Dechêne et al., 2010; Fazio et al., 2022). Empirical evidence supports this recommendation, with studies showing that repeated corrections significantly reduce the CIE compared to single exposures (Carnahan et al., 2021; Ecker et al., 2011; Sanderson et al., 2022). In practice, this means that in both social interactions and media contexts, reiterating the falsehood of misinformation can enhance the impact of corrections. Similarly, social media platforms seeking to combat the influence of FI could consider implementing algorithms to identify users exposed to misinformation and systematically provide repeated exposures to its correction. This strategy could help reinforce the correction and mitigate the persistence of FI over time.
Perspectives for Research
The cognitive dimension suggests that a deeper analysis of information should reduce the CIE. At the time of receiving the correction, deeper analysis could lower the likelihood that the conflict between the FI and the correction goes undetected or that the correction fails to integrate into the mental model due to insufficient cognitive resources. Furthermore, when the mental model is later activated, deeper processing could increase the likelihood that the correction will be accurately retrieved, further diminishing the influence of the FI.
Several studies support the hypothesis that a deeper analysis of information could reduce the CIE. For instance, Ecker et al. (2010) found that interventions like reminding participants that some information might be unverified or providing psychoeducation about the CIE prior to exposure to a CIE-inducing text significantly mitigated this effect. Similarly, Rapp and Kendeou (2007) found that corrections were more effective when participants were explicitly instructed to pay close attention to the material they read. These findings suggest that such interventions promote deeper cognitive engagement, which may enhance the detection of discrepancies and facilitate the integration of corrections, thereby reducing the persistence of the CIE.
However, the proposed inhibitory effect of deeper information processing on the CIE remains hypothetical, as it has yet to be directly tested in empirical research. To our knowledge, no studies have specifically investigated this relationship. Thus, future studies could explore whether individuals with a higher propensity for cognitive engagement (measurable through the Need for Cognition scale, Cacioppo & Petty, 1982) or for a more analytical approach to information processing (measurable through the Cognitive Reflection Test, Frederick, 2005) are less vulnerable to the CIE. Numerous studies have already demonstrated the relevance of analytical reasoning for vulnerability to FI, showing that it is associated with better detection of FI, a reduced tendency to share it, and lower endorsement (Ali & Qazi, 2022; Brashier et al., 2021; Kaufman et al., 2022; Pehlivanoglu et al., 2021; Pennycook & Rand, 2019; Ross et al., 2021). Similarly, experimental studies could examine whether manipulating the intensity of information processing during exposure to corrected misinformation affects the persistence of the CIE. Potential manipulations might include framing the text as having immediate and certain consequences rather than distant and uncertain ones (Chaiken & Maheswaran, 1994), presenting the text in the future tense and second-person singular instead of third-person past tense (Burnkrant & Unnava, 1989; Tal-Or & Cohen, 2010) or emphasizing the need for accuracy in answers to questions following the reading (Zaccoletti et al., 2023). These avenues offer promising opportunities to test whether enhancing cognitive engagement can mitigate the CIE.
Recommendations and Perspectives Based on the Motivational Dimension
Practical Recommendations
The motivational perspective provides several practical recommendations for stakeholders seeking to mitigate the influence of FI through corrections. One key strategy addresses the reluctance to accept corrections due to the incompleteness they introduce into mental models. It consists of providing an alternative explanation for the FI or to explain why the FI is false, which would reduce the incompleteness introduced by the correction, thereby reducing the likelihood of the correction being rejected. This recommendation is strongly supported by numerous studies showing that corrections accompanied by alternative explanations significantly reduce the CIE (Ecker et al., 2023; Johnson & Seifert, 1994; Kan et al., 2021; Kendeou et al., 2014; MacFarlane et al., 2018). In both social interactions and media contexts, those delivering corrections should go beyond merely stating that the information is false. Instead, they should provide a clear explanation of why the FI is incorrect or offer accurate information to replace it. Similarly, social media platforms combating misinformation can improve the effectiveness of corrections by avoiding oversimplified corrections, such as only using a “false” label. Partnerships between social media platforms and fact-checking organizations could be optimized by providing these organizations with sufficient space to explain why specific FI is incorrect.
Another perspective inspired by the motivational dimension, particularly the concept of motivated reasoning, is to incorporate self-affirmation techniques. These techniques aim to reinforce an individual’s sense of personal integrity (Epton et al., 2015) by encouraging reflection on core personal traits or values, such as writing about an important personality trait or value they hold (G. L. Cohen et al., 2000). The motivational perspective grounded on motivation reasoning suggests that individuals may be driven to reject a correction that contradicts an important attitude, particularly one tied to their identity. Thus, inducing self-affirmation may help counteract the perceived threat to personal integrity posed by reconsidering a deeply held attitude or behaviour. For example, an experiment found that participants, whether supporters or opponents of the death penalty, were more willing to change their stance after being exposed to a counter-attitudinal scientific argument if they had undergone self-affirmation (G. L. Cohen et al., 2000). Similarly, a meta-analysis showed that self-affirmation increased intentions to change behaviour following health-related messages (Epton et al., 2015). In the context of the CIE, self-affirmation could mitigate the threat to personal integrity posed by an important counter-attitudinal correction (Lewandowsky et al., 2012). Therefore, for practical application, in a social interaction, someone delivering a counter-attitudinal correction might preface it by affirming the recipient’s personal qualities or values to reduce resistance. On a broader scale, self-affirmation exercises could be integrated into interventions aimed at reducing belief in FI. However, it is important to note that while this perspective is theoretically grounded, its effectiveness in mitigating the CIE has yet to be directly tested. Further empirical research is needed to evaluate its potential in this specific context.
Perspectives for Research
Future research could explore whether self-affirmation techniques can effectively reduce the CIE in cases where the corrected information is both important and aligned with the individual’s attitudes. For instance, an experiment could examine whether a conservative activist is less influenced by the CIE after receiving a correction to pro-conservative FI, if they first engage in a self-affirmation task, such as writing about the values of the conservative group. Similarly, another study could investigate whether individuals strongly committed to false beliefs about climate change become more receptive to corrections after being reminded of their personal qualities or achievements. These investigations could provide valuable insights into the potential of self-affirmation to mitigate the resistance often encountered when corrections challenge deeply held or identity-relevant beliefs.
Regarding the CIE grounded on reluctance to accept incomplete mental models, research on the need for cognitive closure (NFCC), measurable with the Need For Cognitive closure Scale (NFCS, Webster & Kruglanski, 1994), highlights significant individual differences in discomfort with ambiguity and preference for order and structure. Since corrections destabilize the structure of a mental model and introduce ambiguity, future research could explore the hypothesis that correcting FI generates greater discomfort among individuals with a high need for closure, making them more susceptible to the CIE. Indirect evidence supporting this hypothesis includes findings that the NFCS (Webster & Kruglanski, 1994) positively correlates with dogmatism (Webster & Kruglanski, 1994, study (2) and that individuals with a high NFCC are less likely to revise their initial impression of a person even when presented with new information (Webster & Kruglanski, 1994, studies 4 and 6). These findings suggest a plausible link between high NFCC and vulnerability to the CIE, which future research could investigate.
Recommendations and Perspectives Based on the Rational Dimension
Practical Recommendations
Research grounded in the rational perspective highlights the importance of the credibility of corrections in mitigating the CIE. Therefore, a strategy to reduce the CIE would involve enhancing the credibility of key sources of correction in society, such as the news media (Graves & Cherubini, 2016), and the scientific community. Enhancing the perceived credibility of these institutions might represent an indirect yet powerful strategy for mitigating the CIE. This perspective holds particular contemporary relevance, as multiple surveys reveal declining or low levels of trust in these corrective sources for several countries. For instance, in France, distrust in news media is reported by 32% (CSA, 2022; IPSOS, 2024) to as high as 72% (CEVIPOF, 2024) of the population. Trust in the scientific community, while relatively higher, has also been affected, with 20% of a representative French sample expressing distrust in 2024 (CEVIPOF, 2024), reflecting a seven-point rise since 2011 (Boy, 2014). In this context, a practical recommendation to reduce the CIE would involve efforts to bolster trust in the media and scientific institutions. This perspective also implies that in a social interaction, individuals delivering corrections should emphasize their expertise and reliability to optimize their effectiveness.
Research based on the rational perspective also highlights the role of the credibility attributed to FI in perpetuating the CIE. This suggests that individuals might be less prone to the CIE if they were better equipped to withhold credibility from FI. Strengthening individuals’ capacity to critically evaluate and discredit FI aligns with recommendations from scholars advocating for the development of critical thinking skills (Bronner et al., 2022; Swami et al., 2014). Critical thinking can be defined as “the ability to appropriately adjust one’s level of confidence based on the evaluation of the quality of supporting evidence and the reliability of sources” (Pasquinelli & Bronner, 2021, p. 15). The importance of promoting critical thinking is supported by evidence showing that exposure to educational interventions, such as videos teaching methods for identifying FI (e.g., verifying URL), improves people’s ability to recognize FI (Bor et al., 2023). Additionally, studies reveal that critical thinking is negatively correlated with belief in conspiracy theories (Lantian et al., 2021), and that engaging in information verification behaviours enhances the detection of false claims (Melki et al., 2021). Therefore, a promising strategy for reducing the CIE would involve initiatives aimed at fostering critical thinking skills, thereby reducing the unwarranted credibility attributed to FI.
Perspectives for Research
Perspectives to enhance critical thinking and build trust in information sources offer promising theoretical strategies for reducing the CIE, but their practical implementation remains undefined. Future research could explore effective methods for fostering trust in media and science, as well as the most impactful ways to cultivate critical thinking skills. For instance, Pasquinelli and Bronner (2021) proposed embedding critical thinking education into primary, secondary, and higher education curricula, integrating it across various subjects to promote lifelong analytical skills. Investigating such perspectives through future research could help identify scalable and sustainable strategies for reducing the CIE.
A broader perspective for advancing research on the CIE is to place greater emphasis on rational explanations for this phenomenon. As noted by Ecker and Antonio (2021), the rational perspective is rarely employed to explain this effect in the literature, despite several indications that the CIE can often be explained through rational factors. To our knowledge, only three studies (Guillory & Geraci, 2010, 2013; O’Rear & Radvansky, 2020) have directly asked participants whether they believed the correction of FI presented in a text. These studies revealed that a significant proportion of participants, ranging from one-third to half, either doubted or outright disbelieved the correction. Another argument supporting the importance of the rational dimension is the hypothesis that corrections inherently face a credibility handicap compared to FI (Ecker & Antonio, 2021). The hypothesis is that FI is not necessarily questioned when initially received. In contrast, a corrector faces a credibility handicap because, by definition, they are contradicting something that was likely perceived as true (Connor Desai et al., 2020). Supporting this hypothesis, an experiment asked participants to evaluate the credibility of each message within several CIE texts and found that corrections were generally rated as less credible than the FI (Ecker & Antonio, 2021). Thus, the credibility handicap hypothesis for corrections combined with research showing that corrections frequently lack credibility underscore the need for greater consideration of the rational dimension within CIE research. In this regard, future CIE protocols could benefit from explicitly asking participants whether they believe the correction. This practice would help clarify the extent to which the effect is attributable to cognitive, motivational, or merely rational factors.
Recommendations and Perspectives Based on the Interaction Between the Three Dimensions
Practical Recommendations
Several findings suggest that the three dimensions of the CIE are interdependent. Accordingly, optimizing correction strategies requires taking this interdependence into account. First, the interaction between the cognitive and rational dimensions suggests that source credibility primarily influences message credibility under conditions of superficial processing (Petty & Cacioppo, 1984, 1986). This implies that encouraging deeper cognitive processing may be particularly important when FI originates from a highly credible source, as such processing may reduce reliance on source cues.
Second, evidence shows that information is more likely to be perceived as less credible when it conflicts with pre-existing attitudes. This implies that highlighting inconsistencies between the FI and the recipient’s existing beliefs may, under certain conditions, prompt a re-evaluation of its credibility in light of worldview-consistent standards. For instance, among Democratic-leaning individuals exposed to FI criticizing a Democratic politician, a correction could emphasize how the claim conflicts with values central to their political identity.
More generally, the interaction among the three dimensions suggests that correction effectiveness may be enhanced by combining elements across dimensions. For example, repeating corrections, providing alternative explanations, strengthening source credibility cues, or using self-affirmation techniques may jointly improve correction outcomes, although further research is needed. Supporting this view, a multi-component intervention that combined these elements outperformed a standard correction approach (Paynter et al., 2019).
Perspectives for Research
Regarding the interaction between cognitive and motivational dimensions, further research is needed to clarify the conditions under which cognitive engagement reduces, enhances, or has no effect on susceptibility to corrections (e.g., Ross et al., 2021; Valli & Nai, 2023). One possible explanation is that cognitive resources may reduce correction effectiveness when they are recruited for counter-arguing, which is more likely when individuals are motivated to defend their prior attitudes. In contrast, when such defensive motivation is absent, analytic processing may instead be directed toward accuracy goals, thereby increasing resistance to FI.
Moreover, recommendations based on interactions between the different dimensions remain largely speculative and require further empirical validation. Future research could quantitatively test proposed hypotheses, such as whether the effect of FI credibility is reduced by deeper analytic reasoning or whether framing corrections in terms of worldview inconsistency reduces the perceived credibility of FI. Finally, following Paynter et al. (2019), future studies could evaluate the effectiveness of combining different correction techniques. Such paradigms could improve theoretical understanding of how these mechanisms interact, and whether they produce additive, synergistic, or potentially inhibitory effects.
Conclusion
This conceptual reorganization of the main theoretical explanations of the CIE proposes a heuristic framework structured around three interdependent dimensions: cognitive, motivational, and rational. The framework aims to facilitate the interpretation of empirical findings, support the formulation of theoretical hypotheses, and clarify the conditions under which a correction is likely to be effective: when individuals are able to integrate and retrieve it from memory, are sufficiently motivated to accept it, and perceive it as more credible than the initial information. This three-dimensional organization can serve as a guiding tool for researchers seeking to situate their findings within the literature and to develop new hypotheses, as outlined in the perspectives section. Moreover, practitioners and policymakers aiming to mitigate the influence of misinformation can rely on these three dimensions, along with the associated recommendations, to implement effective corrections. These contributions appear especially crucial in an era where false information represents a significant societal issue that needs to be corrected.
Footnotes
Acknowledgments
We thank Sophie Berjot, Sylvain Delouvée and Valérie Fointiat for their valuable feedback on a previous version of this manuscript.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Data Availability Statement
As a theoretical paper, this article does not include any data.
