#backfireeffect — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #backfireeffect, aggregated by home.social.
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Communication expert shares 2-step method for talking to people who never admit they're wrong
https://fed.brid.gy/r/https://www.upworthy.com/people-that-cant-admit-theyre-wrong
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Although there’s no rational evidence for Trump’s dehumanizing #invectivehurlingatSomalians, yet, “it takes a conscious effort to understand this so as not to fall victim to this cognitive bias called the #backfireeffect.” #MisinformationCampaign
(From 2016 Think CharlieKirk) #AlgorithmsSee Ted Talk embedded:
https://medium.com/homeland-security/the-social-psychology-of-the-backfire-effect-locking-up-the-gears-of-your-mind-a79d4e6e8061 -
Watch #RFKjr angry reaction now to questions and comments. He’s doubling down trying to protect his inauthentic belief in unproven unscientific medical misinformation.
#BackFireEffect -
The #backfireeffect is when a correction increases belief in the very misconception it is attempting to correct, and it is often used as a reason not to correct misinformation. The current study aimed to test whether correcting misinformation increases belief more than a no-correction control.
#RFK_Vaccines
#PersonalityCults
#Misinformation
https://pmc.ncbi.nlm.nih.gov/articles/PMC9283209/ -
CW: re: uspol
Most discussion about the topic is sadly still dominated by the so-called "#BackfireEffect" (beliefs allegedly get stronger when others attempt try to debunk them). Notable researchers like Stephan #Lewandowsky first advised how to avoid the backfire effect (Debunking Handbook, 2012), only to later correct course (Debunking Handbook, 2020), and present the current consensus that this effect is hardly ever reproducible, so: "Debunk often and properly". You can find some studies still leaning towards the existence of the effect, and many more towards it being simply "bad science".
Half a decade ago, though, science has started to realize that the trouble with this static focus on "debunking" is that it does not take the public discourse process into account: it's never about the outrageous, individual claim that gets "debunked" (or not), but about the purpose and evolution of the debate. It's not about "$8 billion" vs "$8 million", but about the purpose of the "wall of receipts" and whether you can be coerced into fulfilling it, by considering it your mission to keep debunking its claims.
To the best of my knowledge, the first study that shifts the focus towards the evolution of the discourse is B. Nyhan (2021): "Why the backfire effect does not explain the durability of political misperceptions" https://doi.org/10.1073/pnas.1912440117
As he summarizes: "the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims."
In other words: what you believe to have "debunked" just mutates and comes back, as elites and partisan media keep telling you things like "he/it actually didn't mean this, but rather that other thing".
That's essentially what "flooding the zone with shit" is designed to trigger. While you're thinking that you and others only need to be fast enough, because it allegedly was the amount of shit that was the problem, the mutations are already one step ahead, because they are the problem. And you can't see it, because you're triumphant in vain, about your "findings" like these:
https://www.cbsnews.com/news/doge-wall-of-receipts-more-discrepancies/
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CW: re: uspol
Most discussion about the topic is sadly still dominated by the so-called "#BackfireEffect" (beliefs allegedly get stronger when others attempt try to debunk them). Notable researchers like Stephan #Lewandowsky first advised how to avoid the backfire effect (Debunking Handbook, 2012), only to later correct course (Debunking Handbook, 2020), and present the current consensus that this effect is hardly ever reproducible, so: "Debunk often and properly". You can find some studies still leaning towards the existence of the effect, and many more towards it being simply "bad science".
Half a decade ago, though, science has started to realize that the trouble with this static focus on "debunking" is that it does not take the public discourse process into account: it's never about the outrageous, individual claim that gets "debunked" (or not), but about the purpose and evolution of the debate. It's not about "$8 billion" vs "$8 million", but about the purpose of the "wall of receipts" and whether you can be coerced into fulfilling it, by considering it your mission to keep debunking its claims.
To the best of my knowledge, the first study that shifts the focus towards the evolution of the discourse is B. Nyhan (2021): "Why the backfire effect does not explain the durability of political misperceptions" https://doi.org/10.1073/pnas.1912440117
As he summarizes: "the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims."
In other words: what you believe to have "debunked" just mutates and comes back, as elites and partisan media keep telling you things like "he/it actually didn't mean this, but rather that other thing".
That's essentially what "flooding the zone with shit" is designed to trigger. While you're thinking that you and others only need to be fast enough, because it allegedly was the amount of shit that was the problem, the mutations are already one step ahead, because they are the problem. And you can't see it, because you're triumphant in vain, about your "findings" like these:
https://www.cbsnews.com/news/doge-wall-of-receipts-more-discrepancies/
-
CW: re: uspol
Most discussion about the topic is sadly still dominated by the so-called "#BackfireEffect" (beliefs allegedly get stronger when others attempt try to debunk them). Notable researchers like Stephan #Lewandowsky first advised how to avoid the backfire effect (Debunking Handbook, 2012), only to later correct course (Debunking Handbook, 2020), and present the current consensus that this effect is hardly ever reproducible, so: "Debunk often and properly". You can find some studies still leaning towards the existence of the effect, and many more towards it being simply "bad science".
Half a decade ago, though, science has started to realize that the trouble with this static focus on "debunking" is that it does not take the public discourse process into account: it's never about the outrageous, individual claim that gets "debunked" (or not), but about the purpose and evolution of the debate. It's not about "$8 billion" vs "$8 million", but about the purpose of the "wall of receipts" and whether you can be coerced into fulfilling it, by considering it your mission to keep debunking its claims.
To the best of my knowledge, the first study that shifts the focus towards the evolution of the discourse is B. Nyhan (2021): "Why the backfire effect does not explain the durability of political misperceptions" https://doi.org/10.1073/pnas.1912440117
As he summarizes: "the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims."
In other words: what you believe to have "debunked" just mutates and comes back, as elites and partisan media keep telling you things like "he/it actually didn't mean this, but rather that other thing".
That's essentially what "flooding the zone with shit" is designed to trigger. While you're thinking that you and others only need to be fast enough, because it allegedly was the amount of shit that was the problem, the mutations are already one step ahead, because they are the problem. And you can't see it, because you're triumphant in vain, about your "findings" like these:
https://www.cbsnews.com/news/doge-wall-of-receipts-more-discrepancies/
-
CW: re: uspol
Most discussion about the topic is sadly still dominated by the so-called "#BackfireEffect" (beliefs allegedly get stronger when others attempt try to debunk them). Notable researchers like Stephan #Lewandowsky first advised how to avoid the backfire effect (Debunking Handbook, 2012), only to later correct course (Debunking Handbook, 2020), and present the current consensus that this effect is hardly ever reproducible, so: "Debunk often and properly". You can find some studies still leaning towards the existence of the effect, and many more towards it being simply "bad science".
Half a decade ago, though, science has started to realize that the trouble with this static focus on "debunking" is that it does not take the public discourse process into account: it's never about the outrageous, individual claim that gets "debunked" (or not), but about the purpose and evolution of the debate. It's not about "$8 billion" vs "$8 million", but about the purpose of the "wall of receipts" and whether you can be coerced into fulfilling it, by considering it your mission to keep debunking its claims.
To the best of my knowledge, the first study that shifts the focus towards the evolution of the discourse is B. Nyhan (2021): "Why the backfire effect does not explain the durability of political misperceptions" https://doi.org/10.1073/pnas.1912440117
As he summarizes: "the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims."
In other words: what you believe to have "debunked" just mutates and comes back, as elites and partisan media keep telling you things like "he/it actually didn't mean this, but rather that other thing".
That's essentially what "flooding the zone with shit" is designed to trigger. While you're thinking that you and others only need to be fast enough, because it allegedly was the amount of shit that was the problem, the mutations are already one step ahead, because they are the problem. And you can't see it, because you're triumphant in vain, about your "findings" like these:
https://www.cbsnews.com/news/doge-wall-of-receipts-more-discrepancies/
-
CW: re: uspol
Most discussion about the topic is sadly still dominated by the so-called "#BackfireEffect" (beliefs allegedly get stronger when others attempt try to debunk them). Notable researchers like Stephan #Lewandowsky first advised how to avoid the backfire effect (Debunking Handbook, 2012), only to later correct course (Debunking Handbook, 2020), and present the current consensus that this effect is hardly ever reproducible, so: "Debunk often and properly". You can find some studies still leaning towards the existence of the effect, and many more towards it being simply "bad science".
Half a decade ago, though, science has started to realize that the trouble with this static focus on "debunking" is that it does not take the public discourse process into account: it's never about the outrageous, individual claim that gets "debunked" (or not), but about the purpose and evolution of the debate. It's not about "$8 billion" vs "$8 million", but about the purpose of the "wall of receipts" and whether you can be coerced into fulfilling it, by considering it your mission to keep debunking its claims.
To the best of my knowledge, the first study that shifts the focus towards the evolution of the discourse is B. Nyhan (2021): "Why the backfire effect does not explain the durability of political misperceptions" https://doi.org/10.1073/pnas.1912440117
As he summarizes: "the research that I review suggests that the accuracy-increasing effects of corrective information like fact checks often do not last or accumulate; instead, they frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims."
In other words: what you believe to have "debunked" just mutates and comes back, as elites and partisan media keep telling you things like "he/it actually didn't mean this, but rather that other thing".
That's essentially what "flooding the zone with shit" is designed to trigger. While you're thinking that you and others only need to be fast enough, because it allegedly was the amount of shit that was the problem, the mutations are already one step ahead, because they are the problem. And you can't see it, because you're triumphant in vain, about your "findings" like these:
https://www.cbsnews.com/news/doge-wall-of-receipts-more-discrepancies/
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Fake News entkräften mit dem Truth Sandwich: Der neue Ansatz unter der Lupe
von Johannes Kotz, Helge Giese & Laura M. König
Fake News können in sozialen Medien schnell verbreitet werden und erheblichen Schaden in der Bevölkerung anrichten. Texte im sogenannten Truth-Sandwich-Format sollen diese #FakeNews aufgreifen und anhand von Fakten korrigieren. Was hat es mit dem #TruthSandwich auf sich und ist es wirklich effektiv?
https://de.in-mind.org/blog/post/fake-news-entkraeften-mit-dem-truth-sandwich-der-neue-ansatz-unter-der-lupe
#Psychology #Science #BackfireEffect -
Searching for the #BackfireEffect: Measurement and Design Considerations - PMC
Eines der beunruhigendsten Konzepte für #Wissenschaftskommunikatoren, #Faktenprüfer und Verfechter der Wahrheit ist der Backfire-Effekt. Dabei handelt es sich um den Fall, dass eine Korrektur dazu führt, dass eine Person noch stärker an genau das Missverständnis glaubt, das die Korrektur eigentlich korrigieren soll. In der Literatur wird derzeit darüber diskutiert, ob Backfire-Effekte überhaupt existieren, da neuere Studien dieses Phänomen selbst unter theoretisch günstigen Bedingungen nicht nachweisen konnten.(...) Wir sind der Ansicht, dass Backfire-Effekte kein robustes empirisches Phänomen sind und zuverlässigere Messungen, leistungsfähigere Designs und stärkere Verbindungen zwischen experimentellem Design und Theorie erheblich dazu beitragen könnten, das Feld voranzubringen.
https://pmc.ncbi.nlm.nih.gov/articles/PMC7462781/
#FakeNews #Kommunikation #Science -
Debunking nutrition myths: An experimental test of the ‘truth sandwich’ text format - König - 2023 - British Journal of Health #Psychology - Wiley Online Library
https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjhp.12665
#BackfireEffect #TruthSandwich
#FakeNews #Kommunikation #Science -
@nyquildotorg Slightly ominous: last night I was using my phone flashlight, and had the thought "huh, vague memory of reading somewhere that this was bad somehow." Then I remembered- but also in that moment realized how often I'm subtly swayed by vaguely remembered innuendo. #BackfireEffect
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Searching for the #BackfireEffect: Measurement and Design Considerations - PMC
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462781/
"We suggest that backfire effects are not a robust empirical phenomenon, and more reliable measures, powerful designs, and stronger links between experimental design and theory could greatly help move the field ahead."
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CW: Long thread/3
Or maybe you've heard that voters are "#RationallyIgnorant," choosing not to become informed about politics because their vote doesn't have enough influence to justify the cognitive expenditure of figuring out how to cast it.
There's the #BackfireEffect, the idea that rational argument doesn't make us change our minds, but rather, drives us to double-down on our own cherished beliefs.
3/