14 août 2020 Nevertheless the classifier trained only on labeled data was able to distinguish political from nonpolitical channels with an accuracy of 96%
lished by 1.064 French channels dealing with news and politics. The limitations imposed by YouTube API made it impossible to collect data more frequently.
assortment of scholars media pundits
https://www.brookings.edu/wp-content/uploads/2016/06/0313_youtube_salmond.pdf
21 juil. 2021 Unfortunately code audits are not suitable in the context of YouTube because ML-based curation systems rely heavily on data. (2) Noninvasive ...
2 août 2021 Rather consumption of political content on YouTube ... and A.G. performed research; H.H. and A.G. analyzed data; and H.H. and D.J.W. wrote.
lished by 1.064 French channels dealing with news and politics. The limitations imposed by YouTube API made it impossible to collect data more frequently.
Data-driven political campaigns relying on traditional and digital campaigns by political parties and candidates using social media platforms (YouTube
17 mai 2021 pared to the dominant platform for political videos (YouTube) we find that a ... The best hard data comes from the company's August 24 2020.
19 oct. 2020 and video data as features for classification as other researchers ... socio-political YouTube channels yet to be analyzed. We experi-.
This study relies on detailed analysis of 3118 YouTube videos uploaded during election campaigns by 72 parties across 12 countries 3 All told these videos were viewed almost 44 million times
language processing to classify political content outside of YouTube as well For example studies have experimented with predicting the political ideology of Twitter users [14] and shown how one can identify biased hyperpartisan news outlets based on the writing style [15] Furthermore datasets have been compiled to provide information on