My Blog – Week 4
This week I identified inequality in social media as my research direction. Therefore, I searched for many articles on researching inequality in social media to read and summarize, trying to understand the various types of inequality that appear on social media, as well as the methods of collecting data, to help me understand my research more clearly frame.
Many thanks to Theresa for the advice, I’ve read the chapter Cyber-trolling as symbolic violence: deconstructing gendered abuse online in The Routledge Handbook of Gender and Violence, which has inspired me a lot and helped me find the entrance to look at gender inequality on social media— trolling; in addition, I searched for more academic articles related to this; and selected a few typical ones to share, such as Manipulating Civic Space: Cyber Trolling in Thailand and The Philippines reveals the relationship between social media and politics; Internet Trolling- Analyzing The Legal Myths And Facts researches the reasons for trolling and the related laws involved; K-Nearest Neighbors Undersampling as Balancing Data for Cyber Troll Detection is research to talk about machine learning, separating between cyber troll tweets and normal tweets on Twitter.
What confuses me the most at the moment is the method of collecting data on social media. If it involves esoteric statistical methods, I am not sure if I can do it; if it is only too shallow statistical methods, it will also affect the depth of the research; or perhaps, an interview approach does both, which is a method that is not too technical, but also provides deep insights. But how does the interview apply to the study of social media? I will continue to think about it.
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