Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation
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Abstract (arXiv)
This study quantifies influence between media outlets by applying a novel methodology that uses causal effect estimation on networks and transformer language models. We demonstrate the obscured influence of state-controlled outlets over other outlets, regardless of orientation, by analyzing a large dataset of quotations from over 100 thousand articles published by the most prominent European and Russian traditional media outlets, appearing between May 2018 and October 2019. The analysis maps out the network structure of influence with news wire services serving as prominent bridges that connect outlets in different geo-political spheres. Overall, this approach demonstrates capabilities to identify and quantify the channels of influence in intermedia agenda setting over specific topics.
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References · 9
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2017Bilateral Multi-Perspective Matching for Natural Language Sentencescited by 120
- 2015Convolutional Neural Network Architectures for Matching Natural Language Sentencescited by 82
- 2018Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategiescited by 47
- 2020Automatic Detection of Influential Actors in Disinformation Networkscited by 8
- 2018Influence Estimation on Social Media Networks Using Causal Inferencecited by 3
- 2020Relation Clustering in Narrative Knowledge Graphscited by 2
- 2017Causal Inference Under Network Interference: A Framework for Experiments on Social Networkscited by 1
- 2020A network perspective on intermedia agenda-settingcited by 1
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