Literature DB >> 26147670

The continued influence of implied and explicitly stated misinformation in news reports.

Patrick R Rich1, Maria S Zaragoza1.   

Abstract

The piecemeal reporting of unfolding news events can lead to the reporting of mistaken information (or misinformation) about the cause of the newsworthy event, which later needs to be corrected. Studies of the continued influence effect have shown, however, that corrections are not entirely effective in reversing the effects of initial misinformation. Instead, participants continue to rely on the discredited misinformation when asked to draw inferences and make judgments about the news story. Most prior studies have employed misinformation that explicitly states the likely cause of an outcome. However, news stories do not always provide misinformation explicitly, but instead merely imply that something or someone might be the cause of an adverse outcome. Two experiments employing both direct and indirect measures of misinformation reliance were conducted to assess whether implied misinformation is more resistant to correction than explicitly stated misinformation. The results supported this prediction. Experiment 1 showed that corrections reduced misinformation reliance in both the explicit and implied conditions, but the correction was much less effective following implied misinformation. Experiment 2 showed that implied misinformation was more resistant to correction than explicit misinformation, even when the correction was paired with an alternative explanation. Finally, Experiment 3 showed that greater resistance to correction in the implied misinformation condition did not reflect greater disbelief in the correction. Potential reasons why implied misinformation is more difficult to correct than explicitly provided misinformation are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Year:  2015        PMID: 26147670     DOI: 10.1037/xlm0000155

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  12 in total

1.  Failure to accept retractions: A contribution to the continued influence effect.

Authors:  Andrea E O'Rear; Gabriel A Radvansky
Journal:  Mem Cognit       Date:  2020-01

2.  Narrative elaboration makes misinformation and corrective information regarding COVID-19 more believable.

Authors:  Joanna Greer; Kaitlyn Fitzgerald; Santosh Vijaykumar
Journal:  BMC Res Notes       Date:  2022-06-28

3.  Comparing the use of open and closed questions for Web-based measures of the continued-influence effect.

Authors:  Saoirse Connor Desai; Stian Reimers
Journal:  Behav Res Methods       Date:  2019-06

4.  Can you believe it? An investigation into the impact of retraction source credibility on the continued influence effect.

Authors:  Ullrich K H Ecker; Luke M Antonio
Journal:  Mem Cognit       Date:  2021-01-15

5.  You don't have to tell a story! A registered report testing the effectiveness of narrative versus non-narrative misinformation corrections.

Authors:  Ullrich K H Ecker; Lucy H Butler; Anne Hamby
Journal:  Cogn Res Princ Implic       Date:  2020-12-09

6.  The role of discomfort in the continued influence effect of misinformation.

Authors:  Mark W Susmann; Duane T Wegener
Journal:  Mem Cognit       Date:  2021-09-17

7.  Exploring factors that mitigate the continued influence of misinformation.

Authors:  Irene P Kan; Kendra L Pizzonia; Anna B Drummey; Eli J V Mikkelsen
Journal:  Cogn Res Princ Implic       Date:  2021-11-27

8.  Corrections of political misinformation: no evidence for an effect of partisan worldview in a US convenience sample.

Authors:  Ullrich K H Ecker; Brandon K N Sze; Matthew Andreotta
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-02-22       Impact factor: 6.237

9.  Can corrections spread misinformation to new audiences? Testing for the elusive familiarity backfire effect.

Authors:  Ullrich K H Ecker; Stephan Lewandowsky; Matthew Chadwick
Journal:  Cogn Res Princ Implic       Date:  2020-08-26

10.  COVID-19 myth-busting: an experimental study.

Authors:  Aimée Challenger; Petroc Sumner; Lewis Bott
Journal:  BMC Public Health       Date:  2022-01-19       Impact factor: 3.295

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