- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
The Responses to Encourage Reposting on Social Media
-
- Sasaki Maika
- The Distribution Economics Institute of Japan
-
- Ishibashi Keisuke
- Shinshu University, Faculty of Economics and Law
-
- Ozaki Koken
- University of Tsukuba, Graduate School of Business Sciences, Humanities and Social Sciences
Bibliographic Information
- Other Title
-
- ソーシャルメディア上での再投稿を促進する他者の反応
- -In Case of Questions Posted on the Q&A Site-
- -Q&Aサイトにおける質問投稿の場合-
Search this article
Description
<p>For Q&A site, increasing the number of times users post, in otherwords, encouraging them to repost questions is important to strengthenthe loyalty to the site. To encourage users on the Q&A site to repostquestions, it is necessary for its management company to giveefficiently points to users, which the company offers them as incentiveto post. This study aimed to analyze what kind of answers makes iteasier for the questioner to post the next question in a short period.The data to be analyzed is the questions and answers data of Q&Awebsite. Considering the response to the question as an intervention,propensity score matching is used for this analysis to balance thecovariates between intervention group and non-intervention group. Also,we propose to balance the unobserved heterogeneity of the questioners byincorporating different random intercepts for each questioner into themodel of the propensity score calculation. The result of this study canbe used to propose Q&A site management companies the way of givingpoints effectively to promote questions.</p>
Journal
-
- Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
-
Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 50 (2), 81-95, 2023
The Behaviormetric Society
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390299859706417664
-
- ISSN
- 18804705
- 03855481
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
- OpenAIRE
-
- Abstract License Flag
- Disallowed