Recent & Upcoming Talks

RADICES (RAnk Degree Influencer CorE Sampler) - An Efficient Sampler for Influential Twitter Follow Networks (Tool Demonstration)

This demonstration of a Twitter follow network sampler (Münch & Thies, 2019) addresses a common problem faced by online media researchers: data about follow or subscription networks are often hard to collect due to API restrictions. Despite the …

What makes a bot a bot? Exploring benign automation on Twitter

We present a study on bot detection and its interpretation by assessing the different types of automation that one of the most popular methods for bot detection, Botometer (https://botometer.iuni.iu.edu/), detects. The study is based on the first …

Bots Among Us: Prevalence, Influence, and Roles of Automated Accounts in the German Twitter Follow Network

Social bots are undermining trust in social media. They spread low-credibility content (Shao et al., 2018), so-called fake news (Vosoughi, Roy, & Aral, 2018), and spam (Bruns et al., 2018). However, most research analyses data based on the active …

Mining Influencers in the German Twittersphere

This conference contribution presents a new sampling approach for large follow networks of influential Twitter accounts, discusses first key results of its application to the German Twittersphere, and benchmarks their representativeness. Twitter …

Walking Through Twitter: How to Mine a National Follow Network

Twitter is used by individuals, grassroots movements, and political and social elites to directly communicate to the public and influence opinion. The platform appears relatively accessible to researchers because the majority of accounts post …