TY - JOUR
T1 - HIVE MIND ONLINE
T2 - COLLECTIVE SENSING IN TIMES OF DISINFORMATION
AU - Ho, Shuyuan Mary
AU - Nickerson, Jeffrey
AU - Zhang, Qian
N1 - Publisher Copyright:
© 2022, DIGSUM (Centre for Digital Social Research), Umea University. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This study investigates the efficacy of collective sensing as a mechanism for unveiling disinformation in group interaction. Small group interactions were simulated to experiment on the effects of a group reaction to incentivized deceptive behavior when initiated by social influencers. We use multilevel modeling to examine the individual communication data nested within group interactions. The study advances the use of computational efficacy to support the supposition of collective sensing—by analyzing individual social actors’ communicative language and interaction within group contexts. Language-action cues as stigmergic signals were systemically extracted, compared and analyzed within groups as well as between groups. The results demonstrate that patterns of group communication become more concentrated and expressive after a social influencer becomes deceptive, even when the act of deception itself is not obvious to any individual. That is, individuals in the group characterize deceptive situations differently, but communication patterns depict the group’s ability to collectively sense deception from circulating disinformation. The study confirms our postulation of using collective sensing to detect deceptive influences in a group.
AB - This study investigates the efficacy of collective sensing as a mechanism for unveiling disinformation in group interaction. Small group interactions were simulated to experiment on the effects of a group reaction to incentivized deceptive behavior when initiated by social influencers. We use multilevel modeling to examine the individual communication data nested within group interactions. The study advances the use of computational efficacy to support the supposition of collective sensing—by analyzing individual social actors’ communicative language and interaction within group contexts. Language-action cues as stigmergic signals were systemically extracted, compared and analyzed within groups as well as between groups. The results demonstrate that patterns of group communication become more concentrated and expressive after a social influencer becomes deceptive, even when the act of deception itself is not obvious to any individual. That is, individuals in the group characterize deceptive situations differently, but communication patterns depict the group’s ability to collectively sense deception from circulating disinformation. The study confirms our postulation of using collective sensing to detect deceptive influences in a group.
KW - collective intelligence
KW - collective sensing
KW - computer-mediated communication
KW - computer-mediated deception
KW - disinformation
KW - human sensor networks
KW - information manipulation
KW - language-action cues
KW - multilevel models
UR - https://www.scopus.com/pages/publications/105009875553
UR - https://www.scopus.com/pages/publications/105009875553#tab=citedBy
U2 - 10.33621/jdsr.v4i4.119
DO - 10.33621/jdsr.v4i4.119
M3 - Article
AN - SCOPUS:105009875553
VL - 4
SP - 89
EP - 129
JO - Journal of Digital Social Research
JF - Journal of Digital Social Research
IS - 4
ER -