The Impact of Social Sentiment on Firm Performance Similarity

Kim Kwansoo; Sang-Yong Tom Lee; Morad Benyoucef

The Impact of Social Sentiment on Firm Performance Similarity

Kim Kwansoo, Sang-Yong Tom Lee, Morad Benyoucef

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This study aims to investigate the impact of social sentiment on firm performance similarity in financial markets. We analyze social sentiment towards a firms’ business using opinion mining techniques, and develop a social relation revealing firms’ business similarity based on the output. We found that when social trend and social sentiment about a firm vary on social media, people are likely to change their view of the firm. We found social trend to be most influential followed by negative sentiment. We use stock trade volume as an indicator of firms’ performance in two different channels (traditional and mobile), and develop social relations showing firms’ business similarity based on the output. Our findings suggest that social relations inferred from social sentiment are related to firm performance similarity. More interestingly, the relationship is stronger in the mobile channel, but it is even negative in the traditional channel.

Original language	English
Title of host publication	ICIS 2017 Proceedings
Number of pages	18
Place of Publication	Atlanta, GA
Publisher	Association for Information Systems. AIS Electronic Library (AISeL)
Publication date	2017
Publication status	Published - 2017
Externally published	Yes
Event	38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017: Transforming Society with Digital Innovation - Coex Convention Center , Seoul, Korea, Republic of Duration: 10 Dec 2017 → 13 Dec 2017 Conference number: 38 https://icis2017.aisnet.org/

Conference

Conference	38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017
Number	38
Location	Coex Convention Center
Country/Territory	Korea, Republic of
City	Seoul
Period	10/12/2017 → 13/12/2017
Internet address	https://icis2017.aisnet.org/

Series	Proceedings of the International Conference on Information Systems
Number	8
ISSN	0000-0033

Keywords

Social relation
Social trend
Social sentiment
Firm performance similarity
Decision tree
QAP
ERGM
Bayesian

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Cite this

@inproceedings{64c4892fe2cf4f2b8e9f63d26d462298,

title = "The Impact of Social Sentiment on Firm Performance Similarity",

abstract = "This study aims to investigate the impact of social sentiment on firm performance similarity in financial markets. We analyze social sentiment towards a firms{\textquoteright} business using opinion mining techniques, and develop a social relation revealing firms{\textquoteright} business similarity based on the output. We found that when social trend and social sentiment about a firm vary on social media, people are likely to change their view of the firm. We found social trend to be most influential followed by negative sentiment. We use stock trade volume as an indicator of firms{\textquoteright} performance in two different channels (traditional and mobile), and develop social relations showing firms{\textquoteright} business similarity based on the output. Our findings suggest that social relations inferred from social sentiment are related to firm performance similarity. More interestingly, the relationship is stronger in the mobile channel, but it is even negative in the traditional channel.",

keywords = "Social relations, Social trend, Social sentiment, Firm performance similarity, Decision tree, QAP, ERGM, Bayesian, Social relation, Social trend, Social sentiment, Firm performance similarity, Decision tree, QAP, ERGM, Bayesian",

author = "Kim Kwansoo and Lee, {Sang-Yong Tom} and Morad Benyoucef",

year = "2017",

language = "English",

series = "Proceedings of the International Conference on Information Systems",

number = "8",

booktitle = "ICIS 2017 Proceedings",

publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

note = "38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 : Transforming Society with Digital Innovation, ICIS 2017 ; Conference date: 10-12-2017 Through 13-12-2017",

url = "https://icis2017.aisnet.org/",

}

Kwansoo, K, Lee, S-YT & Benyoucef, M 2017, The Impact of Social Sentiment on Firm Performance Similarity. in ICIS 2017 Proceedings. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the International Conference on Information Systems, no. 8, 38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017, Seoul, Korea, Republic of, 10/12/2017. <https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1287&context=icis2017>

The Impact of Social Sentiment on Firm Performance Similarity. / Kwansoo, Kim; Lee, Sang-Yong Tom; Benyoucef, Morad.
ICIS 2017 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL), 2017. (Proceedings of the International Conference on Information Systems; No. 8).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - This study aims to investigate the impact of social sentiment on firm performance similarity in financial markets. We analyze social sentiment towards a firms’ business using opinion mining techniques, and develop a social relation revealing firms’ business similarity based on the output. We found that when social trend and social sentiment about a firm vary on social media, people are likely to change their view of the firm. We found social trend to be most influential followed by negative sentiment. We use stock trade volume as an indicator of firms’ performance in two different channels (traditional and mobile), and develop social relations showing firms’ business similarity based on the output. Our findings suggest that social relations inferred from social sentiment are related to firm performance similarity. More interestingly, the relationship is stronger in the mobile channel, but it is even negative in the traditional channel.

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