In a world of sympathetic villains and flawed heroes, people still like fictional characters more when they have a strong sense of morality, a new study finds. Researchers found that people best liked the heroes they rated as most moral, and least liked villains they rated as most immoral.
For the first time, researchers have shown a causal link between print news media coverage of US gun control policy in the wake of mass shooting events and increases in firearm acquisition, particularly in states with the least restrictive gun laws.
In a recent University of Washington study, researchers interviewed women 'Wikipedians' to examine the lack of female and non-binary editors in Wikipedia.
Researchers at the Institute of Psychology show how news about immigrants and language describing immigrants shape prejudice against immigrants and other social minorities, as part of the project 'Immigrants in the Media.' For instance, nouns used for describing the ethnicity of immigrants enhance prejudice against immigrants more than adjectives.
US-based journalism has gradually shifted away from objective news and offers more opinion-based content that appeals to emotion and relies heavily on argumentation and advocacy, according to a new RAND Corporation report.
Superheroes like Thor and Black Widow may have what it takes to save the world in movies like Avengers: Endgame, but neither of their comic book depictions has a healthy body mass index (BMI). New research from Binghamton University and SUNY Oswego found that, within the pages of comic books, male superheroes are on average obese, while females are on average close to underweight.
People leave digital footprints online, and this information could helps marketers personalize ads based on individual personality types.
The introduction of communication technologies appears to bias historical records in the direction of the content best suited for each technology, according to a study published Feb. 20, 2019 in the open-access journal PLOS ONE by C. Jara-Figueroa and colleagues from the Massachusetts Institute of Technology, USA.
This is the first study to specifically look at how perpetrator religion impacts coverage across such a wide scope of terrorism cases. Researchers say "members of the public tend to fear the 'Muslim terrorist' while ignoring other threats," due to an imbalance in how news media cover terror attacks.
New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories. The research also underscores how fake-news detectors should undergo more rigorous testing to be effective for real-world applications.