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	<id>https://wiki.dorsaz.org/index.php?action=history&amp;feed=atom&amp;title=Timing_matters_when_correcting_fake_news</id>
	<title>Timing matters when correcting fake news - Historique des versions</title>
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	<updated>2026-09-17T06:30:09Z</updated>
	<subtitle>Historique des versions pour cette page sur le wiki</subtitle>
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	<entry>
		<id>https://wiki.dorsaz.org/index.php?title=Timing_matters_when_correcting_fake_news&amp;diff=479&amp;oldid=prev</id>
		<title>Admin : /* Quelques highlights */</title>
		<link rel="alternate" type="text/html" href="https://wiki.dorsaz.org/index.php?title=Timing_matters_when_correcting_fake_news&amp;diff=479&amp;oldid=prev"/>
		<updated>2026-01-07T16:22:24Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Quelques highlights&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Version précédente&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Version du 7 janvier 2026 à 18:22&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l40&quot;&gt;Ligne 40 :&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Ligne 40 :&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Quelques highlights ==  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Quelques highlights ==  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&#039;&#039;(...) reading fact-checks alongside news could facilitate knowledge revision. Encoding retractions requires building a coherent mental model (7), which is easiest when &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;misinfor-&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&#039;&#039;(...) reading fact-checks alongside news could facilitate knowledge revision. Encoding retractions requires building a coherent mental model (7), which is easiest when &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;misinformation &lt;/ins&gt;and its correction are coactive&#039;&#039;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;mation &lt;/del&gt;and its correction are coactive&#039;&#039;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-added&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &amp;#039;&amp;#039;Debunking after readers form initial judgments about headlines could boost learning, even if they did not make an error.&amp;#039;&amp;#039;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* &amp;#039;&amp;#039;Debunking after readers form initial judgments about headlines could boost learning, even if they did not make an error.&amp;#039;&amp;#039;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;#039;&amp;#039;If misinformation persists because people refuse to “update” beliefs initially (16), prebunking should outperform debunking; readers know from the outset that news is false, so no updating is needed. &amp;#039;&amp;#039;&amp;#039;We found the opposite pattern&amp;#039;&amp;#039;&amp;#039;, which instead supports the concurrent storage hypothesis that people retain both misinformation and its correction (17)&amp;#039;&amp;#039;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;*&amp;#039;&amp;#039;If misinformation persists because people refuse to “update” beliefs initially (16), prebunking should outperform debunking; readers know from the outset that news is false, so no updating is needed. &amp;#039;&amp;#039;&amp;#039;We found the opposite pattern&amp;#039;&amp;#039;&amp;#039;, which instead supports the concurrent storage hypothesis that people retain both misinformation and its correction (17)&amp;#039;&amp;#039;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Admin</name></author>
	</entry>
	<entry>
		<id>https://wiki.dorsaz.org/index.php?title=Timing_matters_when_correcting_fake_news&amp;diff=399&amp;oldid=prev</id>
		<title>Admin : Page créée avec « Brashier, N. M., Pennycook, G., Berinsky, A. J., &amp; Rand, D. G. (2021). Timing matters when correcting fake news. &#039;&#039;Proceedings of the National Academy of Sciences, 118&#039;&#039;(5), e2020043118. https://doi.org/10.1073/pnas.2020043118  == Abstract des auteur·trice·s == &#039;&#039;Countering misinformation can reduce belief in the moment, but corrective messages quickly fade from memory. We tested whether the longer-term impact of fact-checks depends on when people receive them.... »</title>
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		<updated>2025-12-11T15:32:21Z</updated>

		<summary type="html">&lt;p&gt;Page créée avec « Brashier, N. M., Pennycook, G., Berinsky, A. J., &amp;amp; Rand, D. G. (2021). Timing matters when correcting fake news. &amp;#039;&amp;#039;Proceedings of the National Academy of Sciences, 118&amp;#039;&amp;#039;(5), e2020043118. https://doi.org/10.1073/pnas.2020043118  == Abstract des auteur·trice·s == &amp;#039;&amp;#039;Countering misinformation can reduce belief in the moment, but corrective messages quickly fade from memory. We tested whether the longer-term impact of fact-checks depends on when people receive them.... »&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Nouvelle page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Brashier, N. M., Pennycook, G., Berinsky, A. J., &amp;amp; Rand, D. G. (2021). Timing matters when correcting fake news. &amp;#039;&amp;#039;Proceedings of the National Academy of Sciences, 118&amp;#039;&amp;#039;(5), e2020043118. https://doi.org/10.1073/pnas.2020043118&lt;br /&gt;
&lt;br /&gt;
== Abstract des auteur·trice·s ==&lt;br /&gt;
&amp;#039;&amp;#039;Countering misinformation can reduce belief in the moment, but corrective messages quickly fade from memory. We tested whether the longer-term impact of fact-checks depends on when people receive them. In two experiments (total N = 2,683), participants read true and false headlines taken from social media. In the treatment conditions, “true” and “false” tags appeared before, during, or after participants read each headline. Participants in a control condition received no information about veracity. One week later, participants in all conditions rated the same headlines’ accuracy. Providing fact-checks after headlines (debunking) improved subsequent truth discernment more than providing the&lt;br /&gt;
same information during (labeling) or before (prebunking) exposure. This finding informs the cognitive science of belief revision and has practical implications for social media platform designers.&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
== Introduction et design général == &lt;br /&gt;
Iels ont voulu regarder comment lutter efficacement contre les fake news. &lt;br /&gt;
&lt;br /&gt;
Pour ça iels ont présenté 18 fausses et 18 vraies headlines (accompagné ou non d&amp;#039;un feedback). Les participant·e·s devaient se positionner sur la véracité du propos présenté. Une semaine plus tard les 36 propositions était re-présentées, et les participant·e·s devaient à nouveau se positionner. &lt;br /&gt;
&lt;br /&gt;
== Variables ==&lt;br /&gt;
* VI1: &amp;#039;&amp;#039;&amp;#039;Type de feedback&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
** Contrôle (pas de feedback)&lt;br /&gt;
** Pre-bunking (feedback avant la présentation de l&amp;#039;information) &lt;br /&gt;
** Labeling (feedback en même temps que l&amp;#039;information) &lt;br /&gt;
** Debunking (feedback après l&amp;#039;information) &lt;br /&gt;
* VI2: &amp;#039;&amp;#039;&amp;#039;Type de headline&amp;#039;&amp;#039;&amp;#039; (vraie/fausse)&lt;br /&gt;
* VD: &amp;#039;&amp;#039;&amp;#039;Perceived Accuracy&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
** Not at all accurate&lt;br /&gt;
** Not very accurate&lt;br /&gt;
** Somewhat accurate&lt;br /&gt;
** Very accurate&lt;br /&gt;
* VC1: &amp;#039;&amp;#039;&amp;#039;Cognitive reflexion test&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
* VC2: &amp;#039;&amp;#039;&amp;#039;Aligment with partisanship&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
* VC3: &amp;#039;&amp;#039;&amp;#039;Political knowledge&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
== Résultats == &lt;br /&gt;
Croyance dans les fausses informations après 1 semaine: &lt;br /&gt;
* Le &amp;#039;&amp;#039;labelling&amp;#039;&amp;#039; et le &amp;#039;&amp;#039;debunking&amp;#039;&amp;#039; sont significativement meilleures que la condition contrôle (i.e. les gens croient moins dans les fausses informations)&lt;br /&gt;
* Le &amp;#039;&amp;#039;pre-bunking&amp;#039;&amp;#039; n&amp;#039;est pas meilleure que la condition contrôle&lt;br /&gt;
Croyance dans les vraies informations après une semaine: &lt;br /&gt;
* Les 3 réfutations améliorent la croyance dans les vraies informations (comparativement à la condition contrôle) &lt;br /&gt;
* Le &amp;#039;&amp;#039;debunking&amp;#039;&amp;#039; est significativement plus efficace que les autres formes de réfutation&lt;br /&gt;
Variables de contrôle &lt;br /&gt;
* Les styles cognitifs n&amp;#039;ont pas d&amp;#039;effet modérateur sur la réfutation &lt;br /&gt;
* Les connaissances politiques non plus &lt;br /&gt;
* Les réfutations sont légèrement moins efficaces pour les énoncés alignés sur les opinions des participant·e·s&lt;br /&gt;
&lt;br /&gt;
== Quelques highlights == &lt;br /&gt;
&lt;br /&gt;
*&amp;#039;&amp;#039;(...) reading fact-checks alongside news could facilitate knowledge revision. Encoding retractions requires building a coherent mental model (7), which is easiest when misinfor-&lt;br /&gt;
mation and its correction are coactive&amp;#039;&amp;#039;&lt;br /&gt;
* &amp;#039;&amp;#039;Debunking after readers form initial judgments about headlines could boost learning, even if they did not make an error.&amp;#039;&amp;#039;&lt;br /&gt;
*&amp;#039;&amp;#039;If misinformation persists because people refuse to “update” beliefs initially (16), prebunking should outperform debunking; readers know from the outset that news is false, so no updating is needed. &amp;#039;&amp;#039;&amp;#039;We found the opposite pattern&amp;#039;&amp;#039;&amp;#039;, which instead supports the concurrent storage hypothesis that people retain both misinformation and its correction (17)&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
[[Catégorie:Résumés d&amp;#039;articles]]&lt;br /&gt;
[[Catégorie:ANOVA]]&lt;/div&gt;</summary>
		<author><name>Admin</name></author>
	</entry>
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