Interactive Gender Inference in Social Media
نویسندگان
چکیده
In this paper, we define a novel task named interactive gender inference, which aims to utilize interactive text to identify the genders of two interactive users. To address this task, we propose a two stage approach by well incorporating the dependency among the interactive samples sharing identical users. Specifically, we first apply a standard four-category classification algorithm to get a preliminary result, and then propose a global optimization algorithm to achieve better performance. Evaluation demonstrates the effectiveness of our proposed approach to interactive gender inference.
منابع مشابه
Gender Inference of Twitter Users in Non-English Contexts
While much work has considered the problem of latent attribute inference for users of social media such as Twitter, little has been done on non-English-based content and users. Here, we conduct the first assessment of latent attribute inference in languages beyond English, focusing on gender inference. We find that the gender inference problem in quite diverse languages can be addressed using e...
متن کاملGender Inference for Arabic Language in Social Media
The widespread usage of social media has attracted a new group of researchers seeking information on who, what and, where the users are. Some of the information retrieval researchers are interested in identifying the gender, age group, and the educational level of the users. The objective of this work is to identify the gender in the Arabic posts in the social media. Most of the works related t...
متن کاملThe Relationship between virtual social networks usage and gender role attitude in university students of Iran
Background & aim: Gender role attitude is one of the key issues affecting the stability of family foundation, which is under the influence of mass media. New media and the process of globalization are effective in promoting gender equality, and an example of modern media is virtual social networks. This study aimed to determine the relationship between virtual social media usage and gender role...
متن کاملGuess Who? An Empirical Study of Gender Deception and Detection in Computer-Mediated Communication
The verification of an online conversation partner’s identity is a challenge due to the lack of verbal and visual cues in computer-mediated communication. People must constantly assess the identity of whomever they are communicating with based on limited interaction. This poster describes an empirical study that identifies how people attribute gender and detects gender deception in online text-...
متن کاملGender Prediction in Social Media
In this paper, we explore the task of gender classification using limited network data with an application to Fotolog. We take a heuristic approach to automating gender inference based on username, followers and network structure. We test our approach on a subset of 100,000 nodes and analyze our results to find that there is a lot of value in these limited information and that there is great pr...
متن کامل