Elanor Colleoni

Good Friends, Bad News - Affect and Virality in Twitter

The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. The basic measure of virality in Twitter is the probability of retweet and we are interested in which dimensions of the content of a tweet leads to retweeting. We hypothesize that negative news content is more likely to be retweeted, while for non-news tweets positive sentiments support virality. To test the hypothesis we analyze three corpora: A complete sample of tweets about the COP15 climate summit, a random sample of tweets, and a general text corpus including news. The latter allows us to train a classifier that can distinguish tweets that carry news and non-news information. We present evidence that negative sentiment enhances virality in the news segment, but not in the non-news segment. Our findings may be summarized ‘If you want to be cited: Sweet talk your friends or serve bad news to the public’.

Value in Informational Capitalism and on the Internet

We engage with recent applications of the Marxist “labor theory of value” to online prosumer practices, and offer an alternative framework for theorizing value creation in such practices. We argue that the labor theory of value is difficult to apply to online prosumer practices for two reasons. One, value creation in such practices is poorly related to time. Two, the realization of the value accumulated by social media companies generally occurs in financial markets, rather than in direct commodity exchange. In an alternative framework, we offer an understanding of value creation as based primarily on the capacity to initiate and sustain webs of affective relations, and value realization as linked to a reputation based financial economy. We argue that this model describes the process of value creation and appropriation in the context of online prosumer platforms better than an approach based on the Marxist labor theory of value. We also suggest that our approach can cast new light on value creation within informational capitalism in general.

Measuring Organizational Legitimacy in Social Media: Assessing Citizens’ Judgments With Sentiment Analysis:

Conventional quantitative methods for the measurement of organizational legitimacy consider mainly three sources that make judgments about organizations visible: news media, accreditation bodies, and surveys. Over the last decade, however, social media have enabled ordinary citizens to bypass the gatekeeping function of these institutional evaluators and autonomously make individual judgments public. This inclusion of voices beyond functional and formally organized stakeholder groups potentially pluralizes the ongoing discussions about organizations. The individual judgments in blogs, tweets, and Facebook posts give indication about the broader fit between an organization’s perceived behavior and heterogeneous social norms and therefore constitute an indicator of organizational legitimacy that can be accessed and measured. We propose the use of social media data and sentiment analysis to study the affect-based responses to organizational actions by citizens. We critically discuss and compare the method with existing quantitative methods for legitimacy measurement and apply them to a recent case in the banking industry. We discuss the value of the method for studying the process of legitimacy construction as the expression and negotiation of normative judgments about organizations by various evaluators.