We evaluate the empirical evidence interrogating the question of whether social media
erodes social cohesion. We look at how networks, information exchange, and norms operate …

Repression research examines the causes and consequences of actions or policies that are
meant to, or actually do, raise the costs of activism, protest, and/or social movement activity …

The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

Misinformation about COVID-19 is a major threat to public health. Using five national
samples from the UK (n= 1050 and n= 1150), Ireland (n= 700), the USA (n= 700), Spain (n …

Careless speech is a new type of harm created by large language models (LLM) that poses
cumulative, long-term risks to science, education and shared social truth in democratic …

Social bots have become an important component of online social media. Deceptive bots, in
particular, can manipulate online discussions of important issues ranging from elections to …

Large language models (LLMs) exhibit impressive capabilities in generating realistic text
across diverse subjects. Concerns have been raised that they could be utilized to produce …

The identification of bots is an important and complicated task. The bot classifier" Botometer"
was successfully introduced as a way to estimate the number of bots in a given list of …

We present Harmony Square, a short, free-to-play online game in which players learn how
political misinformation is produced and spread. We find that the game confers …

Many diverse fields across academia are interested in the fake news (FN) phenomenon. A
multidisciplinary literature review can provide researchers with new insights, alternative …