The Influence of “Likes” on User Content Generation in Online Investment Communities

Simple item page
dc.contributor.authorZhuo, Xiaolin
dc.contributor.authorHong, Hong
dc.contributor.authorXu, Dapeng
dc.contributor.authorYe, Qiang
dc.date.accessioned2021-12-24T17:59:15Z
dc.date.available2021-12-24T17:59:15Z
dc.date.issued2022-01-04
dc.description.abstractInvestors increasingly rely on investment advice in online investment communities (OICs). This study analyzes the influence of the “ likes” function on the content generation in OICs. Based on the data collected from Seeking Alpha, we perform a series of analyses from the perspectives of both authors and readers. From the angle of authors, we find that authors express the logic of the articles more seriously by increasing the use of negative words, and reducing the frequency of writing articles. The reader-level analyses show that “likes” and “comments” are complementary to each other, and readers do not reduce their “comments” after the introduction of the “likes” function. In general, the launch of the new function affects the content generated by both authors and readers. Our study can enrich the research on user-generated content (UGC) and provide helpful suggestions to OIC managers in motivating users to make feedbacks and contributions in such communities.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.541
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79878
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCrowd-based Platforms
dc.subjectcomments
dc.subjectlikes
dc.subjectugc
dc.subjectugc generation
dc.subjectonline investment communities
dc.titleThe Influence of “Likes” on User Content Generation in Online Investment Communities
dc.type.dcmitext

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0437.pdf
Size:
935.45 KB
Format:
Adobe Portable Document Format
Download

Collections

Crowd-based Platforms