#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions
نویسندگان
چکیده
We combine social theory and NLP methods to classify English-speaking Twitter users’ online social identity in profile descriptions. We conduct two text classification experiments. In Experiment 1 we use a 5-category online social identity classification based on identity and self-categorization theories. While we are able to automatically classify two identity categories (Relational and Occupational), automatic classification of the other three identities (Political, Ethnic/religious and Stigmatized) is challenging. In Experiment 2 we test a merger of such identities based on theoretical arguments. We find that by combining these identities we can improve the predictive performance of the classifiers in the experiment. Our study shows how social theory can be used to guide NLP methods, and how such methods provide input to revisit traditional social theory that is strongly consolidated in offline settings.
منابع مشابه
Identifying Users across Multiple Online Social Networks
An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it. With no global identifier to mark her presence ...
متن کاملA Comparative Study of Demographic Attribute Inference in Twitter
Social media platforms have become a major gateway to receive and analyze public opinions. Understanding users can provide invaluable context information of their social media posts and significantly improve traditional opinion analysis models. Demographic attributes, such as ethnicity, gender, age, among others, have been extensively applied to characterize social media users. While studies ha...
متن کاملTransforming Game Narrative through Social Media: Studying the Mass Effect Universe of Twitter
This paper explores the world of social media as a tool for interactive narrative in video games. From the perspective of fan fiction, this paper looks at ways games can be transformed through Twitter as a narrative tool. We perform a textual analysis on selected characters’ Twitter accounts drawn from the Mass Effect series. We show a number of findings having to do with how authors balance th...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملFinding Nemo: Searching and Resolving Identities of Users Across Online Social Networks
An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection network. She largely governs her identity formulation on any social network and therefore can manipulate multiple aspects of it. With no global identifier to mark her presence ...
متن کامل