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The use of social networking websites by companies to disclose corporate news and by investors to collect information for investment purposes is increasing rapidly. However, the role of investors’ affective reactions to corporate disclosures on social networking websites is under-researched. This paper aims to examine how the disclosure platform (disclosing news on a company’s Facebook Web page or the corporate investor relations Web page) and news valence (positive or negative) jointly influence investors’ affective reactions to corporate news and stock price change judgments.

The authors conduct an experimental study using 364 participants from Amazon’s Mechanical Turk website as a proxy for reasonably informed investors.

Results show that the disclosure platform influences investors’ affective reactions and stock price change judgments when the corporate news is negative, but not when the corporate news is positive. In addition, investors’ affective reactions mediate the influence of the disclosure platform on investors’ stock price change judgments when the corporate news is negative rather than positive.

This paper extends the theory on affective reactions to a social networking context by showing that differences in disclosure platforms and news valence influence investors’ affective reactions to corporate news. In addition, the study’s theory and findings have significant implications for researchers, company managers and public relations specialists, capital market participants, regulators and investor education organizations and users of social networking websites.

Although prior research documents that analysts sometimes herd their forecasts, very few studies investigate how investors’ judgments are influenced by their perceptions of the likelihood of analyst herding. I conduct an experimental study to investigate the conditions under which investors’ assessments of uncertainty about future earnings are influenced by their perceptions of the likelihood of analyst herding. As expected, and consistent with motivated reasoning, the results show that the temporal order of analyst forecasts influences investors’ estimates of the likelihood of analyst herding and investors’ uncertainty judgments when analyst forecasts are preference-inconsistent but not when analyst forecasts are preference-consistent. This study provides a potential explanation for the mixed findings of prior research in regard to investors’ reactions to the likelihood of analyst herding. In addition, this study extends research on investors’ credulity by providing evidence that motivated reasoning and skepticism may serve as a mechanism that contributes to that credulity.