Name
Abstract | ||
|---|---|---|
We present the results of a preliminary study to test the hypothesis that it is possible to automatically identify opinions, in the form of conviction narratives, as they emerge in text data, and to measure and monitor how actors in the online news media influence others in the media to adopt similar narratives to their own. Narratives are represented in the form of sentiment that online news sources express about various topics. Our results suggest that there is evidence of specific news sources acting as opinion leaders, determining the narratives that others in the online media adopt.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.5555/3382225.3382377 | ASONAM '18: International Conference on Advances in Social Networks Analysis and Mining
Barcelona
Spain
August, 2018 |
Keywords | Field | DocType |
sentiment-topic modelling, opinion leader, intermedia agenda-setting, decision-making, conviction narrative theory | Media studies,Computer science,News media,Narrative,Artificial intelligence,Opinion leadership,Conviction,Digital media,Machine learning,Influencer marketing | Conference |
ISBN | Citations | PageRank |
978-1-5386-6051-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Oliver Stern | 1 | 0 | 0.34 |
| David Tuckett | 2 | 0 | 1.35 |
| Robert Elliott Smith | 3 | 0 | 0.68 |
| Rickard Nyman | 4 | 0 | 0.68 |