Exploring the Political Biases in Pakistani Tweets Dataset

Study is conducted on Exploring political biases in Pakistani twitter data set. The objectives of the study is the way Pakistani twitter users express their biases towards different political parties or personalities and the way they advance their political agenda. Mixed methodology approach is used in the study. Biber’s six dimensions, MAT tagger and Douglas Biber’s “variation across speech and writing” is utilized in comparing the analysis 1 and analysis 2. Analysis 2 based on the Corpus received from the department is identical to Analysis 1 from the Douglas Biber’s “ variation across speech and writing” except few genres which indicates little variations from the standard or expected usage of language. Result of the study shows that participants involved in conversation use nouns, pronouns, adjectives, verbs and long words to express their biases towards different political parties or personalities, and to advance their political agenda. They use the argumentative and persuasive techniques to convince the interlocutors on the twitter.