You will be provided with a research report. The body of the report will contain some citations to references.

Citations in the main text may appear in the following forms:
1. A segment of text + space + number, for example: "Li Qiang constructed a socioeconomic status index (SES) based on income, education, and occupation, dividing society into 7 levels 15"
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Please identify **all** instances where references are cited in the main text, and extract (fact, ref_idx, url) triplets. When extracting, pay attention to the following:
1. Since these facts will need to be verified later, you may need to look for some context before and after the citation to ensure that the fact is complete and understandable, rather than just a simple phrase or short expression.
2. If a fact cites multiple references, then it should correspond to two triplets: (fact, ref_idx_1, url_1) and (fact, ref_idx_2, url_2).
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You should return a JSON list format, where each item in the list is a triplet, for example:
[
    {
        "fact": "Text segment from the original document. Note that Chinese quotation marks should use full-width marks. And add a single backslash before the English quotation mark to make it a readable for python json module.",
        "ref_idx": "The index of the cited reference in the reference list for this text segment.",
        "url": "The URL of the cited reference for this text segment (extracted from the reference list at the end of the research report or from the parentheses at the citation point)."
    }
]

Here is the main text of the research report:
# Need for Closure and Susceptibility to Misinformation: A Research Overview

## TL;DR

- **Need for cognitive closure (NFC)** — the motivated desire for a firm, definite answer over ambiguity, expressed through "seizing" on early information and "freezing" on it — is a modest but replicable individual-difference predictor of misinformation, conspiracy, and false-belief acceptance, but its effect is **usually weaker than cognitive ability, analytic thinking, (dis)trust, and conspiracy mentality**, and it is highly **conditional** on the information environment.
- The best-supported mechanism is **seizing-and-freezing**: high-NFC people accept the first closure-affording explanation, curtail information search, resist corrections, and — critically — seize on *whatever* explanation is most accessible and simple. This means NFC promotes conspiracy/misinformation belief mainly when a conspiratorial or false account is salient and no clear official account exists, and it can even *reduce* false belief when a credible official explanation is available.
- For interventions, this implies NFC is best countered by **satisfying the closure motive with an early, simple, credible alternative** (timely prebunking/technique inoculation; authoritative, trusted official explanations) rather than by belated, complex debunking. Because closure needs are also situationally inflamed by threat and uncertainty, reducing ambient uncertainty and rebuilding institutional trust may matter more than targeting the trait itself.

## Key Findings

1. **Construct and dimensions.** NFC was formalized by Arie Kruglanski and Donna Webster. It is defined as the desire for "an answer on a given topic, any answer … compared to confusion and ambiguity" (Kruglanski 1990). The 42-item Need for Closure Scale (Webster & Kruglanski 1994, *Journal of Personality and Social Psychology*, 67, 1049–1062) has five facets: **preference for order, preference for predictability, decisiveness, discomfort with ambiguity, and closed-mindedness.** The revised scale (Roets & Van Hiel 2007; 15-item brief version, Roets & Van Hiel 2011) treats it as essentially one dimension after separating out an "ability"/decisiveness confound. Its two core processes are **seizing** (urgency — grabbing early closure-affording information) and **freezing** (permanence — maintaining it and resisting change).
2. **The relationship is real but modest and conditional.** Across studies NFC correlates positively with conspiracy belief, fake-news belief, and misinformation susceptibility, but effect sizes are typically small (rs commonly ~.10–.25), and several well-powered studies find null or even negative associations. The dominant theme is **moderation by the information environment**: NFC drives *false* belief when false/conspiratorial content is salient and official accounts are missing, but not (or in reverse) when credible official explanations are available.
3. **Foundational experimental evidence — Marchlewska, Cichocka & Kossowska (2018), "Addicted to answers," *European Journal of Social Psychology*, 48(2), 109–117.** Two Polish experiments using the 15-item Polish short NFC scale (Kossowska et al. 2012). **Experiment 1 (N = 245)** found NFC positively predicted belief in a refugee-crisis conspiracy, r(243) = .22, p = .001, moderated by a conspiracy-salience manipulation (NFC × condition B = 0.34, SE = 0.17, p = .046): NFC predicted conspiracy belief strongly when a conspiratorial explanation was salient (simple slope B = 0.97, p < .001) [kent](https://kar.kent.ac.uk/61588/1/Marchlewska%20et%20al.%20Addicted%20to%20Answers%20FINAL.pdf) but not in the control (B = 0.29, p = .20). [kent](https://kar.kent.ac.uk/61588/1/Marchlewska%20et%20al.%20Addicted%20to%20Answers%20FINAL.pdf) **Experiment 2 (N = 455)** produced the decisive **reversal** (three-way NFC × salience × certainty interaction B = −0.22, SE = 0.10, p = .03): within the conspiracy-salience condition, NFC positively (though only marginally) predicted belief in a conspiracy about an *unexplained* crash (Malaysia Airlines MH370; B = 0.39, p = .08) but *negatively* predicted conspiracy belief about a crash with a clear official explanation (Germanwings; B = −0.44, p = .04). Note the zero-order NFC–conspiracy correlation in Experiment 2 was itself null, r(453) = .02, p = .71. Interpretation: high-NFC individuals "seize" on whatever explanation delivers closure — conspiratorial when that is the accessible/simple answer, official when that is available.
4. **Large-sample and null/weak findings.** A preregistered representative German panel (Jedinger & Masch 2025, *Frontiers in Social Psychology*; N = 2,883, NFC measured *pre*-pandemic) found NFC only weakly related to COVID-19 conspiracy beliefs (bivariate r = .12; standardized regression B = 0.08, p < .001), whereas **political and crisis trust were far stronger** (rs = −.37 and −.55) and no moderation of NFC by trust emerged. Leman & Cinnirella (2013, *Frontiers in Psychology*) found no NFC–conspiracy correlation in a small study (N = 30, then N = 86) but showed that experimentally *lowering* NFC diminished the effect of prior conspiracy beliefs. Imhoff & Bruder (2014) found no association; Jones et al. (2023) reported a small *negative* one; Gligorić et al. (2021) found NFC unrelated to COVID conspiracies specifically. This mixed record is itself a key finding.
5. **Fake news and belief updating.** Szebeni, Lönnqvist & Jasinskaja-Lahti (2021, *Frontiers in Psychology*; Hungary, N = 295) found NFC did *not* consistently predict fake-news belief once conspiracy mentality was included — **conspiracy mentality was the only consistent predictor** across the political spectrum. De keersmaecker & Roets (2017, *Intelligence*, 65, 107–110; N = 390) showed that low cognitive ability (with NFC included as a control) predicted failure to fully correct attitudes after learning information was false — the "incorrect but hard to correct" effect that aligns conceptually with NFC-style freezing. De keersmaecker et al. (2020, *Personality and Social Psychology Bulletin*; 7 studies, combined N = 2,196) found the illusory-truth effect was **not** moderated by NFC, cognitive ability, or cognitive style.
6. **Memory and eyewitness misinformation.** Pica, Pierro, Bélanger & Kruglanski (2014, *Social Cognition*, 32(4), 337–359; three experiments) showed NFC augments retrieval-induced forgetting, which in turn magnifies the post-event misinformation effect. Hejniak et al. (2019/2020, *Problems of Forensic Sciences*, vol. 118) replicated a positive but weak NFC–misinformation correlation carried mainly by the **decisiveness** facet (r(133) = .20) and linked high NFC to greater proneness to false confession. [Ies](https://arch.ies.gov.pl/images/PDF/2019/vol_118/118_Hejniak_m.pdf)
7. **Interaction with other individual differences.** Analytic/reflective thinking (Cognitive Reflection Test) and cognitive ability are more robust *protective* predictors than NFC is a *risk* predictor. In a crowdsourcing study — La Barbera et al., "Who's in the Crowd Matters," *Proceedings of the ACM on Human-Computer Interaction* (CSCW2, 2022; n = 265 MTurk workers and university students) — "respondents with high Cognitive Reflection Test (CRT) scores, conscientiousness, and trust in medical scientists are more aligned with experts while respondents with high Need for Cognitive Closure (NFCC) and those who lean politically conservative are less aligned with experts." A recent study — Cosgrove, "When education fails: Narcissism, uniqueness, and need for closure in conspiracy beliefs and misinformation," *Personality and Individual Differences*, 251 (2026), Article 113567 (published Nov 27, 2025) — found across two studies (N = 354; N = 306, using the MIST-20 discernment measure) that NFC, narcissistic grandiosity, and need for uniqueness **offset the protective effect of education**: the education advantage in misinformation discernment shrank to near-zero at +1 SD on these traits.
8. **Broader ideological context.** NFC is embedded in the "motivated social cognition" literature: Jost, Glaser, Kruglanski & Sulloway (2003, *Psychological Bulletin*; meta-analysis of 88 samples, 12 countries, 22,818 cases) reported needs for order, structure, and closure correlate with political conservatism at weighted mean r = .26, alongside intolerance of ambiguity (.34) and (low) openness (−.32). This helps explain why NFC-linked outcomes often co-travel with right-leaning and conspiratorial predispositions, though fake-news belief itself shows ideological *symmetry* driven by conspiracy mentality (Szebeni et al. 2021).

## Details

### 1. What "need for closure" is

Need for cognitive closure grew out of Kruglanski's **lay epistemic theory** (1989, 1990) of how people form and freeze knowledge. It is the motivation to reach a firm answer and avoid ambiguity, existing both as a **situational state** (heightened by time pressure, noise, fatigue, mental load) [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S0191886910004344) and a **stable disposition** measured by the Webster & Kruglanski (1994) 42-item NFC Scale. The five facets — **preference for order, preference for predictability, decisiveness, discomfort with ambiguity, and closed-mindedness** — were originally treated as a single higher-order dimension. Neuberg, Judice & West (1997) contested the unidimensionality and the decisiveness facet; Roets & Van Hiel (2007) resolved much of this by separating a "need" from an "ability" component and later validated a 15-item brief scale (2011). Pierro & Kruglanski developed a Revised Test (RT-NFC) capturing **urgency** and **permanence** tendencies.

Kruglanski & Webster's (1996) "Motivated Closing of the Mind: Seizing and Freezing" (*Psychological Review*, 103, 263–283) is the theoretical keystone. **Seizing** = the urgent grab for early, closure-affording information; **freezing** = maintaining that judgment and becoming impervious to later, potentially disconfirming information. [nih](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696795/) High-NFC individuals show impression primacy, anchoring, correspondence/attribution bias, stereotyping, reduced information search, greater persuasion when no prior judgment exists but resistance to persuasion once a judgment is formed (Kruglanski, Webster & Klem 1993), [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S0361476X07000252) and stronger in-group/group-centrism.

### 2–4. NFC and misinformation, conspiracy, and false belief

Conspiracy theories and misinformation are attractive to high-NFC individuals because they offer **simple, structured, certainty-restoring explanations** for complex or ambiguous events. [PubMed Central](https://pmc.ncbi.nlm.nih.gov/articles/PMC9690611/) But the empirical literature is genuinely mixed, and the meta-pattern is conditional:

- **Positive/conditional evidence:** Marchlewska et al. (2018) — the clearest experimental demonstration (statistics in Key Finding 3). The Experiment 2 reversal is theoretically decisive: NFC does not create a *preference for conspiracy per se*; it creates a preference for the accessible closure-giving answer. Where the official account is clear and salient, high-NFC people reject the conspiracy. (The authors themselves flag that the positive uncertainty-condition slope was only marginal, p = .08, and "should be treated with caution.")
- **Weak positive:** Jedinger & Masch (2025), the large German panel — NFC positively but weakly predicts COVID conspiracy belief (B = .08), dwarfed by trust effects.
- **Null / negative:** Leman & Cinnirella (2013), Imhoff & Bruder (2014), Jones et al. (2023), Gligorić et al. (2021, COVID conspiracies), and De keersmaecker et al. (2020) for the illusory-truth effect.
- **COVID-specific mediation:** A Polish study (Molenda et al. 2022, N = 380) found the need-for-closure→coronavirus-fear link was mediated by COVID conspiracy beliefs, and highlighted the predictability, ambiguity-avoidance, and closed-mindedness facets as most relevant.

### 4. Mechanisms

The proposed mechanisms are tightly linked to seizing/freezing:

- **Seizing on accessible information / cognitive shortcuts:** high-NFC individuals accept the first plausible, simple explanation, favoring heuristic over systematic processing.
- **Reduced information search:** Kruglanski, Peri & Zakai (1991) and Kruglanski, Webster & Klem (1993) show NFC curtails hypothesis generation and information acquisition once a judgment crystallizes (though it can *increase* early-phase search before crystallization). [Academia.edu](https://www.academia.edu/19058231/Cognitive_and_Social_Consequences_of_the_Need_for_Cognitive_Closure)
- **Freezing / resistance to correction:** once a belief is set, high-NFC people resist disconfirming evidence — echoing the continued-influence effect and De keersmaecker & Roets's "hard to correct" finding.
- **Motivated reasoning / confirmation bias:** NFC biases interpretation toward existing knowledge structures (Kunda 1990's motivated-reasoning framework is the backdrop).
- **Memory suppression:** Pica et al. (2014) — NFC augments retrieval-induced forgetting, suppressing conflicting memories and magnifying misinformation effects.
- **In-group bias/group-centrism:** NFC increases reliance on in-group consensus and shared reality, which can lock in group-endorsed falsehoods.

### 5. Moderators and mediators

- **Salience/accessibility of the false account** (Marchlewska et al. 2018) — the strongest documented moderator.
- **Availability of a clear official explanation** — reverses the NFC effect.
- **Trust in institutions/sources** — Jedinger & Masch (2025) found trust dominates; Wang et al. (2023) found NFC related positively to government trust in China but not the US, [frontiersin](https://www.frontiersin.org/journals/social-psychology/articles/10.3389/frsps.2024.1447313/full) showing NFC attaches to whatever source is culturally authoritative.
- **Ideological congruence / conspiracy mentality** — Szebeni et al. (2021): conspiracy mentality, not NFC, is the consistent predictor across the political spectrum. [University of Helsinki](https://researchportal.helsinki.fi/en/publications/social-psychological-predictors-of-belief-in-fake-news-in-the-run/)
- **Emotion / threat / uncertainty** — fear and uncertainty situationally raise closure needs [nih](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558283/) (Molenda et al. 2022; the "fear-then-relief" compliance literature).
- **Education** — Cosgrove (2026) found high NFC (and narcissism) erases education's protective effect on discernment.

### 6. Interaction with need for cognition, cognitive reflection, analytic thinking

NFC is conceptually near-opposite to **need for cognition** (enjoyment of effortful thinking) and **analytic/reflective thinking**. The misinformation literature finds analytic thinking and cognitive ability are the more robust predictors of *resistance* (Pennycook & Rand 2019, 2020; Bronstein et al. 2019), while NFC is a weaker, more conditional *risk* factor. De keersmaecker et al. (2020) found none of these cognitive variables moderated the illusory-truth effect, [Sage Journals](https://journals.sagepub.com/doi/10.1177/0146167219853844) suggesting low-level fluency processes operate regardless of thinking style. Where NFC matters most is in **belief updating/correction and in ambiguous, threatening contexts** — precisely where the freezing tendency and closure motive are engaged.

### 7. Combating misinformation — can interventions be tailored?

The mechanism suggests specific leverage points:

- **Prebunking / inoculation (technique-based):** The *Bad News* game (Roozenbeek, van der Linden & Nygren 2020, *Harvard Kennedy School Misinformation Review* 1(2); getbadnews.com) inoculates against six manipulation techniques and, though "some cultural heterogeneity was observed, the main inoculation effects of the game replicated cross-culturally" across 20+ language versions. Actively-open-minded-thinking inoculation (two 2025 preregistered Reddit/Prolific studies, N = 462 and N = 464) improved veracity discernment and reduced conspiracy belief. Getting a resistance schema in place *before* exposure means it becomes the closure-satisfying answer.
- **Provide simple, credible, timely official explanations** so the ambiguity gap is filled before conspiratorial content fills it (direct implication of the Marchlewska reversal).
- **Rebuild/maintain institutional trust** (Jedinger & Masch 2025) — likely higher-leverage than trait targeting.
- **Warning/credibility tags:** work framing NFC around a desire for "order, predictability, and discomfort with ambiguity" (arXiv:2407.02710, "WARNING This Contains Misinformation") notes tags may be attractive precisely because they *reduce ambiguity* for online information assessment — a promising, closure-compatible tool, though NFC's role across evaluation domains is contested.
- **Reduce ambient uncertainty/threat** to lower the situational component of NFC.

Direct experimental tailoring of interventions *to* high-NFC individuals remains thin; most evidence is indirect and mechanistic.

## Recommendations

1. **For communicators / public-health / electoral bodies (act first, act simple, act early):** In any ambiguous, high-threat event, release a clear, simple, authoritative explanation *rapidly*. The Marchlewska reversal shows that when a credible official account exists and is salient, high-NFC individuals will seize on *it* rather than a conspiracy. Threshold that should change your posture: if a conspiratorial narrative is already dominant/accessible in the information space, shift from explanation to **technique-based prebunking and trusted-messenger correction**, because freezing will make belated debunks ineffective.
2. **For platform / product designers:** Deploy **ambiguity-reducing cues** (warning tags, credibility labels, source context), which appear especially acceptable to high-NFC users and are closure-compatible. Measure whether tags reduce sharing among users scoring high on the order/predictability facets specifically.
3. **For educators / intervention designers:** Pair media literacy with **inoculation delivered before exposure** and with actively-open-minded-thinking training; do not rely on education level alone, since high NFC erases its protective benefit (Cosgrove 2026). If discernment gains disappear at high trait-NFC/narcissism, add motive-satisfying framing — offering certainty through a *reliable method*, not through a specific answer.
4. **For researchers:** Prioritize **preregistered, well-powered, experimental** designs that manipulate salience and official-explanation availability, measure NFC facets separately (decisiveness and predictability appear most relevant), and test NFC × trust × analytic-thinking jointly. The trait's small main effects and mixed record mean facet-level and moderated designs are where the signal is.
5. **Threshold for downgrading NFC as a primary target:** Given that trust effects (r up to −.55) dwarf NFC effects (B = .08) in the best large-sample study, treat institutional-trust and analytic-thinking interventions as first-line and NFC-tailoring as adjunct until direct tailoring trials demonstrate incremental benefit.

## Caveats

- **Effect sizes are small and inconsistent.** The NFC–conspiracy/misinformation link is not robust as a simple main effect; it is best understood as conditional on salience, official-explanation availability, and trust. Several strong studies find null or negative associations, and even the flagship experimental result (Marchlewska 2018, Exp. 2) rests partly on a marginal (p = .08) simple slope the authors flag as tentative.
- **Construct/measurement issues.** Long vs. short vs. revised scales, the decisiveness "ability" confound, and cross-cultural short forms (e.g., 5-item NFCS-5 with α = .67 in the German panel) complicate comparison. Some facets (decisiveness, predictability) carry more of the effect than others.
- **Directionality and mediation.** Much evidence is correlational; even panel data with NFC measured pre-pandemic is not experimental with respect to belief formation. Fear/uncertainty both cause and are caused by these processes.
- **Context specificity.** Many salient results come from particular national contexts (Poland, Hungary, Germany) and events (COVID, the 2015 refugee crisis, MH370/Germanwings crashes). Jedinger & Masch explicitly note the NFC–conspiracy relationship could be stronger in more commercialized/polarized media ecosystems than Germany's.
- **Intervention tailoring is largely inferential.** No substantial body of trials has *randomized* interventions specifically matched to NFC level; the intervention recommendations here are mechanism-derived and not yet directly proven for high-NFC subgroups.


Please begin the extraction now. Output only the JSON list directly, without any chitchat or explanations.