In the context of climate change and highly congested cities, moving towards low-carbon transport systems becomes of utmost importance. One approach to reduce mobility in urban areas assumes that changing the urban form can influence individual car …
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 …
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 …
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 …
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 …
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 …