At #BYSTANDER22 @Linn_Sandberg presents on images of muslims in online & legacy news media.

Is attention to muslims greater online than in legacy media? Do representations differ? And are online representations more hostile (supporting the "online hostility thesis") 1/5
The data is online and media documents from 8 countries: Sweden, Norway, Denmark, UK, France, Netherlands, Germany & Spain. And Word2vec models are used to analyze text and extract similarity scores between "muslim"/"islam" and neighboring terms. 2/5
In most countries (not Denmark) there is more attention to muslims/islam online than in legacy media. In some countries (but not all), more negative words are close to muslim/islam. In online space, however, there is a stronger connection to eg "extremist" and "terrorist". 3/5
In most countries, "Christian" relate to other religious terms. This is not the case for "muslim". This term is connected to other content types. 4/5
Overall, the is not clear support for the "online hostility hypothesis". But in online spaces "muslims"/"islam" is more often connected to discussions of, e.g., terrorism, which is in line with the hypothesis. 5/5

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More from @M_B_Petersen

Jun 9
Now keynote at #BYSTANDER22 by @DG_Rand on the problem of misinformation and how polarization might solve the problem.

The key question is: How do we fight misinformation at scale? 1/19
Currently, platforms are using technical solutions such as machine learning etc. But there are limits to this solution. These limits often entails that human fact-checkers are brought in. This *does* work. Warning labels limits false news. 2/19
The problem with fact-checking is that it doesn't scale. How can we deal with misinformation at scale?

The solution is to turn towards the wisdom of the crowds (i.e., the finding that aggregations of average people's opinions are often very accurate). 3/19
Read 19 tweets
Jun 9
At #BYSTANDER22 @jrpsau presents our research on how an intervention by @SSTSundhed during the pandemic decreased false news sharing by boosting people's competence in spotting "fake news". 1/5
One intervention often recommended is "accuracy nudges". These assume that people have an intrinsic motivation to be accurate but leave people on their own re: how to spot "fake news".

In risk communication, however, the recommendation is always to give *actionable* advice. 2/5
According to Protection Motivation Theory, actionable advice boosts feelings of competence and efficacy that drives behavior. 3/5
Read 5 tweets
Jun 9
At #BYSTANDER22 @zeaszebeni presents on the profiles of "fake news" believers in Hungary.

Many different factors shape people's beliefs in disinformation. But most research is variable-centered. Here, a *person-centered* approach is used. 1/7
A person-centered approach focuses on whether different types of disinfo speaks to different people. This approach is here used in the polarized Hungarian context, where the term "fake news" is often used to delegitimize the other side. 2/7
295 participants were recruited. They rated the accuracy of news stories (true and false). Multiple factors related to trust were measured and then cluster analysis was applied. 3/7
Read 7 tweets
Jun 9
At #BYSTANDER22 @Sacha_Altay presents on how effective fact-checking, nudges & literacy is against misinformation.

Many interventions are being tested & have been shown to be effective, but short-lived, in the lab. BUT they do not reflect our info eco-systems. 1/7
News consumption is low. Unreliable news may be 5 % of their news diet and even less of media diet. People spend more time on porn (!) than news. Political news consumption is even smaller. 2/7
People's false beliefs does not reflect that they are misinformed but because they are uninformed. Enhancing engagement with reliable news is more important than fighting misinfo. 3/7
Read 7 tweets
Jun 9
At #BYSTANDER22 @aqsa_farooq13 presents work on how young people react to peers who shares misinfo.

Young people are massive users of social media but abilities to detect misinfo is limited. Much misinfo research focus on the content of misinfo. But what about the source? 1/7
Development involve multiple factors that can shape kids' reactions to misinfo. Social group membership influence young people's acceptance of information. Info from ingroups is strongly preferred. Rather than seeking accuracy, children may prioritize loyalty. 2/7
Children uses three domains of knowledge in reasoning (cf. Social Domain Theory): Moral, social and personal. Depending on developmental stage, children will prioritize different domains. 3/7
Read 7 tweets
Jun 9
At #Bystander22 @StefSelmer presents on our research on extreme misogyny including violent extremism - and its potential relationship to individual differences in sociosexuality. 1/7
Extreme misogyny and violent extremism is often seen as an extreme face of (parts of) the incel community. Why could there be this link? 2/7
Potentially because of "sociosexual mismatches": That violence emerges from frustrated sexual desires - and extreme misogyny is a reflection of a "revenge strategy" against the women they desire. 3/7
Read 7 tweets

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