
Twitter, Investor Sentiment and Capital Markets: What Do We Know?
Author(s) -
Heba Ali
Publication year - 2018
Publication title -
international journal of economics and finance
Language(s) - English
Resource type - Journals
eISSN - 1916-9728
pISSN - 1916-971X
DOI - 10.5539/ijef.v10n8p158
Subject(s) - herding , social media , context (archaeology) , construct (python library) , empirical research , mood , empirical evidence , sentiment analysis , business , psychology , political science , social psychology , computer science , machine learning , paleontology , philosophy , epistemology , law , forestry , biology , programming language , geography
Nowadays, the social media play a central role not only in “de-asymmetrizing” the information between firms and investors but also in influencing the emotional response to this information. The social media have provided firms with the opportunity to construct their image and stimulate significant attention and positive emotional responses (i.e. celebrity firm). Investors also become no longer passive participants; they can now communicate, re-tweet, comment, mention, react to information and express their sentiment/views. Theoretically, this should exert a positive impact on information diffusion and so the market efficiency. However, as the social media also significantly influence the public mood and emotional response to any new information/news, several behavioral explanations contradicting with the concept of market efficiency (e.g. investor sentiment and herding behavior) become more reasonable. The study aims at providing a literature review and synthesis of research on the impact of social media sentiment in the context of capital markets, scrutinizing the theoretical understanding of this impact, underlining the methodological challenges related to extracting the sentiment, and reviewing the main empirical findings on the impact in the context of Twitter and StockTwits, which will enable researchers to evaluate and classify existing studies, obtain useful insight into the theoretical understanding of the impact of social media sentiment, hence spurring further theoretical and empirical research.