Examining accuracy-prompt efficacy in combination with using colored borders to differentiate news and social content online
Venya Bhardwaj, Cameron Martel and David G. Rand
Recent evidence suggests that prompting users to consider the accuracy of online posts increases the quality of news they share on social media. Here we examine how accuracy prompts affect user behavior in a more realistic context, and whether their effect can be enhanced by using colored borders to differentiate news from social content.
Search engine manipulation to spread pro-Kremlin propaganda
Evan M. Williams and Kathleen M. Carley
The Kremlin’s use of bots and trolls to manipulate the recommendation algorithms of social media platforms is well-documented by many journalists and researchers. However pro-Kremlin manipulation of search engine algorithms has rarely been explored. We examine pro-Kremlin attempts to manipulate search engine results by comparing backlink and keyphrase networks of US, European, and Russian think tanks, as well as Kremlin-linked “pseudo” think tanks that target Western audiences.
Designing misinformation interventions for all:
Perspectives from AAPI, Black, Latino, and Native American community leaders on misinformation educational efforts
Angela Y. Lee, Ryan C. Moore and Jeffrey T. Hancock
This paper examines strategies for making misinformation interventions responsive to four communities of color. Using qualitative focus groups with members of four non-profit organizations, we worked with community leaders to identify misinformation narratives, sources of exposure, and effective intervention strategies in the Asian American Pacific Islander (AAPI), Black, Latino, and Native American communities.