47 citations · 80 across the 5 of their papers we have counts for
3 papers · 1 filter
Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approach
Hannah Metzler, Hubert Baginski, Thomas Niederkrotenthaler +1
Research shows that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially…
Validating daily social media macroscopes of emotions
Max Pellert, Hannah Metzler, Michael Matzenberger +1
To study emotions at the macroscopic level, affective scientists have made extensive use of sentiment analysis on social media text. However, this approach can suffer from a series…
Social media emotion macroscopes reflect emotional experiences in society at large
David Garcia, Max Pellert, Jana Lasser +1
Social media generate data on human behaviour at large scales and over long periods of time, posing a complementary approach to traditional methods in the social sciences. Millions…