Limits...
Timescales of massive human entrainment.

Fusaroli R, Perlman M, Mislove A, Paxton A, Matlock T, Dale R - PLoS ONE (2015)

Bottom Line: We show that collective social behavior covaries second-by-second to the interactional dynamics of the debates: A candidate speaking induces rapid increases in mentions of his name on social media and decreases in mentions of the other candidate.Thus we demonstrate that large-scale human entrainment may hold across a number of distinct scales, in an exquisitely time-locked fashion.The methods and results pave the way for careful study of the dynamics and mechanisms of large-scale human entrainment.

View Article: PubMed Central - PubMed

Affiliation: Interacting Minds Centre, Aarhus University, Aarhus, Denmark; Center for Semiotics, Aarhus University, Aarhus, Denmark.

ABSTRACT
The past two decades have seen an upsurge of interest in the collective behaviors of complex systems composed of many agents entrained to each other and to external events. In this paper, we extend the concept of entrainment to the dynamics of human collective attention. We conducted a detailed investigation of the unfolding of human entrainment--as expressed by the content and patterns of hundreds of thousands of messages on Twitter--during the 2012 US presidential debates. By time-locking these data sources, we quantify the impact of the unfolding debate on human attention at three time scales. We show that collective social behavior covaries second-by-second to the interactional dynamics of the debates: A candidate speaking induces rapid increases in mentions of his name on social media and decreases in mentions of the other candidate. Moreover, interruptions by an interlocutor increase the attention received. We also highlight a distinct time scale for the impact of salient content during the debates: Across well-known remarks in each debate, mentions in social media start within 5-10 seconds after it occurs; peak at approximately one minute; and slowly decay in a consistent fashion across well-known events during the debates. Finally, we show that public attention after an initial burst slowly decays through the course of the debates. Thus we demonstrate that large-scale human entrainment may hold across a number of distinct scales, in an exquisitely time-locked fashion. The methods and results pave the way for careful study of the dynamics and mechanisms of large-scale human entrainment.

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Effects of interruptions on Twitter mentions.At the onset of speaking, results show that the volume of tweets increases when that spoken turn is in the form of an interruption. Each panel represents the results from one of the debates. Importantly this figure only shows original tweets, omitting retweets.
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pone.0122742.g004: Effects of interruptions on Twitter mentions.At the onset of speaking, results show that the volume of tweets increases when that spoken turn is in the form of an interruption. Each panel represents the results from one of the debates. Importantly this figure only shows original tweets, omitting retweets.

Mentions: Tweet rate was also influenced by interruptions, which significantly increased Twitter mentions of both candidates. Fig. 4 shows the tweet rate for both candidates and moderator together when their turns were interruptions or not. Numerous interruptions took place in the debates and were of varying lengths (Table 3). Results revealed a general increase in the mention of both candidates during interrupting events. Using a mixed effects model similar to the prior analysis, all debates show a reliable contribution of interruption, with marginal R2’s = .07, .02, and .12, for debates 1–3, respectively. Though the effect of interruptions is much smaller, all three debates show a significant coefficient for the interruption term, ß’s > .50, t's > 1.9, p's < .05 (see Table 4). All three debates display the same significant patterns, with analogous effect size and direction.


Timescales of massive human entrainment.

Fusaroli R, Perlman M, Mislove A, Paxton A, Matlock T, Dale R - PLoS ONE (2015)

Effects of interruptions on Twitter mentions.At the onset of speaking, results show that the volume of tweets increases when that spoken turn is in the form of an interruption. Each panel represents the results from one of the debates. Importantly this figure only shows original tweets, omitting retweets.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4400172&req=5

pone.0122742.g004: Effects of interruptions on Twitter mentions.At the onset of speaking, results show that the volume of tweets increases when that spoken turn is in the form of an interruption. Each panel represents the results from one of the debates. Importantly this figure only shows original tweets, omitting retweets.
Mentions: Tweet rate was also influenced by interruptions, which significantly increased Twitter mentions of both candidates. Fig. 4 shows the tweet rate for both candidates and moderator together when their turns were interruptions or not. Numerous interruptions took place in the debates and were of varying lengths (Table 3). Results revealed a general increase in the mention of both candidates during interrupting events. Using a mixed effects model similar to the prior analysis, all debates show a reliable contribution of interruption, with marginal R2’s = .07, .02, and .12, for debates 1–3, respectively. Though the effect of interruptions is much smaller, all three debates show a significant coefficient for the interruption term, ß’s > .50, t's > 1.9, p's < .05 (see Table 4). All three debates display the same significant patterns, with analogous effect size and direction.

Bottom Line: We show that collective social behavior covaries second-by-second to the interactional dynamics of the debates: A candidate speaking induces rapid increases in mentions of his name on social media and decreases in mentions of the other candidate.Thus we demonstrate that large-scale human entrainment may hold across a number of distinct scales, in an exquisitely time-locked fashion.The methods and results pave the way for careful study of the dynamics and mechanisms of large-scale human entrainment.

View Article: PubMed Central - PubMed

Affiliation: Interacting Minds Centre, Aarhus University, Aarhus, Denmark; Center for Semiotics, Aarhus University, Aarhus, Denmark.

ABSTRACT
The past two decades have seen an upsurge of interest in the collective behaviors of complex systems composed of many agents entrained to each other and to external events. In this paper, we extend the concept of entrainment to the dynamics of human collective attention. We conducted a detailed investigation of the unfolding of human entrainment--as expressed by the content and patterns of hundreds of thousands of messages on Twitter--during the 2012 US presidential debates. By time-locking these data sources, we quantify the impact of the unfolding debate on human attention at three time scales. We show that collective social behavior covaries second-by-second to the interactional dynamics of the debates: A candidate speaking induces rapid increases in mentions of his name on social media and decreases in mentions of the other candidate. Moreover, interruptions by an interlocutor increase the attention received. We also highlight a distinct time scale for the impact of salient content during the debates: Across well-known remarks in each debate, mentions in social media start within 5-10 seconds after it occurs; peak at approximately one minute; and slowly decay in a consistent fashion across well-known events during the debates. Finally, we show that public attention after an initial burst slowly decays through the course of the debates. Thus we demonstrate that large-scale human entrainment may hold across a number of distinct scales, in an exquisitely time-locked fashion. The methods and results pave the way for careful study of the dynamics and mechanisms of large-scale human entrainment.

Show MeSH
Related in: MedlinePlus