TY - JOUR
T1 - Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network
AU - Hagen, Loni
AU - Neely, Stephen
AU - Keller, Thomas E.
AU - Scharf, Ryan
AU - Vasquez, Fatima Espinoza
PY - 2020/1/1
Y1 - 2020/1/1
N2 - The growing influence of social bots in political discussion networks has raised significant concerns, particularly given their potential to adversely impact democratic outcomes. In this study, we report the results of a case study analysis of bot activity in a recent, high-profile political discussion network. Specifically, we examine the prevalence and impact of bots in a Twitter network discussing the Special Counsel investigation into Russian interference in the 2016 U.S. elections. Using this discussion network, we conduct a “before-and-after” analysis to examine the prevalence of social bots in the discussion network as well as their influence on key network features such as (1) network structure, (2) content/messaging, (3) sentiment, and (4) influentialness. Our findings suggest that bots can affect political discussion networks in several significant ways. We found that bot-like accounts created the appearance of a virtual community around far-right political messaging, attenuated the influence of traditional actors (i.e., media personalities, subject matter experts), and influenced network sentiment by amplifying pro-Trump messaging. The results of this analysis add to a growing body of literature on the use and influence of social bots while at the same time uniquely examining their influence in a nonelectoral, political setting.
AB - The growing influence of social bots in political discussion networks has raised significant concerns, particularly given their potential to adversely impact democratic outcomes. In this study, we report the results of a case study analysis of bot activity in a recent, high-profile political discussion network. Specifically, we examine the prevalence and impact of bots in a Twitter network discussing the Special Counsel investigation into Russian interference in the 2016 U.S. elections. Using this discussion network, we conduct a “before-and-after” analysis to examine the prevalence of social bots in the discussion network as well as their influence on key network features such as (1) network structure, (2) content/messaging, (3) sentiment, and (4) influentialness. Our findings suggest that bots can affect political discussion networks in several significant ways. We found that bot-like accounts created the appearance of a virtual community around far-right political messaging, attenuated the influence of traditional actors (i.e., media personalities, subject matter experts), and influenced network sentiment by amplifying pro-Trump messaging. The results of this analysis add to a growing body of literature on the use and influence of social bots while at the same time uniquely examining their influence in a nonelectoral, political setting.
KW - bots
KW - social media
KW - Twitter
KW - artificial intelligence
KW - political communication
KW - media politics
UR - https://digitalcommons.usf.edu/si_facpub/630
UR - https://doi.org/10.1177/0894439320908190
U2 - 10.1177/0894439320908190
DO - 10.1177/0894439320908190
M3 - Article
VL - 40
JO - Social Science Computer Review
JF - Social Science Computer Review
ER -