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It is often the case that traditional media provide coverage of a news event on the basis of journalists' viewpoints -a problem termed in the literature as media bias. On the other hand social media have given birth to an alternative paradigm of journalism known as "citizen journalism". We take advantage of citizen journalism to detect the bias in traditional media and propose a simple model for empirical measurement of media bias.

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The use of Twitter as a discussion platform for political issues has led researchers to study its role in predicting election outcomes. This work studies a much neglected aspect of politics on Twitter namely "election trolling" whereby supporters of different political parties attack each other during election campaigns. We also propose a novel strategy to detect terms that are usually not associated with sentiment but are introduced by supporters of political parties to attack the opposing party. We demonstrate a lack of political maturity as evidenced through high percentage of political attacks in a developing region such as Pakistan.