Public Mood in Social Media
Vast data-streams from social networks like Twitter and Facebook contain people’s opinions, fears and dreams, offering a brief glimpse into the real-time thoughts and feelings of a large number of people in the form of readily accessible data. Large-scale analysis of social media thereby allows for macro-scale trends and patterns of mood and opinion to be discovered that are difficult, if not impossible, to detect without massive numbers of samples over an extended period of time.
In a series of peer-reviewed publications, we explored how the public mood as measured in the UK Twitter population changes and reacts to events, as well as discovering how the natural mood rhythms that occur in our day to day lives are expressed online.
Findings include detailed analysis of the daily, weekly and yearly periodic patterns of public mood that are found in social media, along with change-point analysis of public mood in response to events such as the announcement of the government budget cuts in 2010 or the Brexit referendum in 2016.