Analysing Political Bias in Social Media

India is the greatest world-wide democracy system having the largest number of citizens as voters. Our country is additionally the place that is known for the most day by day distributions. The media houses have an adequate measure of users in the nation.These media portals are celebrated for their fast reporting but their political biasing is often fairly evident. Social media is a driving force behind the integration of news media and politics. Political news on social media platforms influences people’s perception of political figures. This propagation can be both helpful and harmful to our community. In our research, attempt is made to reveal inclination of news channels getting biased towards a political party, which can mislead the viewers. An objective watcher, knowing the accurate degree of the predisposition, can understand that in many cases terrible news isn’t accounted for and the uplifting news is misrepresented. To decipher every bit of such information available in the public domain can be quite useful in predicting the outcome of an election. The goal of our research is to build an analyzer capable of detecting political bias from twitter tweets of these news channels. With the help of web scraping and data mining techniques, this information can be captured in both structured and unstructured form at an unprecedented scale and analyzed to predictbias.