Name
Abstract | ||
|---|---|---|
Many disinformation and propaganda campaigns on social media platforms deploy social bots-artificial accounts that pose as humans-to disseminate political propaganda. To understand the effects of the presence of bots as conduits for information transference in online social networks, we use Exponential Family Random Graph Models (ERGMs) to examine the structure of a bot network during a propaganda campaign in Ecuador in October 2019. We find heterophily and transitivity between bot and human actors, but that bots are less likely to engage with humans than with other bots. This may represent a tactic deliberately deployed to maximize influence by exploiting Twitter's algorithm for showing content. The use of ERGMs produces greater insight into this Twitter bot network, and we believe that this methodology should be extended in future work. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/SNAMS52053.2020.9336579 | 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS) |
Keywords | DocType | ISBN |
Exponential Family Random Graph Models (ERGMs),Online Social Networks,Propaganda,Bots,Twitter | Conference | 978-1-6654-1973-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evan M. Williams | 1 | 0 | 0.68 |
| Valerie Novak | 2 | 0 | 0.34 |
| Dylan Blackwell | 3 | 0 | 0.34 |
| Paul Platzman | 4 | 0 | 0.34 |
| Ian McCulloh | 5 | 0 | 1.35 |
| Nolan Edward Phillips | 6 | 0 | 0.34 |