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Conference Paper: Social influence in public and private behaviors
Title | Social influence in public and private behaviors |
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Authors | |
Keywords | News feed ads Peer influence Randomized field experiments Public and private behaviors |
Issue Date | 2016 |
Citation | 2016 International Conference on Information Systems, ICIS 2016, 2016 How to Cite? |
Abstract | I propose that motive and degree of peer influence are likely to differ between public and private behaviors. To compare peer influence between them quantitatively, I designed and analyzed a large-scale field experiment involving more than 37 million users on WeChat Moments ads. In the experiment, I randomized the number of social cues (i.e. peers' endorsements of ads) and identified the effects of them on consumers' public (i.e. liking) and private (i.e.clicking and following) responses to ads. The results show that public responses were associated with significantly more positive effects of social cues than private responses, while both of them were susceptible to a significant peer influence. Tie strength generally exerted larger effects on public responses than on private responses. Relative to homophily, influence explains more of the temporal clustering of public behaviors than private behaviors. This is among the first papers comparing the peer influence in different behaviors. |
Persistent Identifier | http://hdl.handle.net/10722/297350 |
DC Field | Value | Language |
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dc.contributor.author | Huang, Shan | - |
dc.date.accessioned | 2021-03-15T07:33:34Z | - |
dc.date.available | 2021-03-15T07:33:34Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | 2016 International Conference on Information Systems, ICIS 2016, 2016 | - |
dc.identifier.uri | http://hdl.handle.net/10722/297350 | - |
dc.description.abstract | I propose that motive and degree of peer influence are likely to differ between public and private behaviors. To compare peer influence between them quantitatively, I designed and analyzed a large-scale field experiment involving more than 37 million users on WeChat Moments ads. In the experiment, I randomized the number of social cues (i.e. peers' endorsements of ads) and identified the effects of them on consumers' public (i.e. liking) and private (i.e.clicking and following) responses to ads. The results show that public responses were associated with significantly more positive effects of social cues than private responses, while both of them were susceptible to a significant peer influence. Tie strength generally exerted larger effects on public responses than on private responses. Relative to homophily, influence explains more of the temporal clustering of public behaviors than private behaviors. This is among the first papers comparing the peer influence in different behaviors. | - |
dc.language | eng | - |
dc.relation.ispartof | 2016 International Conference on Information Systems, ICIS 2016 | - |
dc.subject | News feed ads | - |
dc.subject | Peer influence | - |
dc.subject | Randomized field experiments | - |
dc.subject | Public and private behaviors | - |
dc.title | Social influence in public and private behaviors | - |
dc.type | Conference_Paper | - |
dc.identifier.scopus | eid_2-s2.0-85019483397 | - |