Social media and campaigning: the challenges and opportunities of incorporating social media into existing anti-airport expansion campaigns

Social media has created new protest spaces and has enabled people to do things differently. The focus of the research is on campaign groups, created before social media was used as a tool for protest. It has been undertaken to achieve the aim of the challenges and opportunities of incorporating new forms of social media into existing protest campaigns through a case study of anti-airport expansion groups in the UK. Social media data was obtained from three anti-airport expansion groups which included the extraction of approximately 9,000 tweets and 8,000 Facebook posts. The data were then analysed using social network analysis, time series analysis and semi-structured interviews. The results of social network analysis and time series analysis informed the development of the questions directed at the social media coordinators of each group. The main findings are that Airport Watch and HACAN Clearskies exhibit very similar Twitter networks and favour interaction with the media, similar anti-airport expansion groups and also pro-airport expansion groups. Transition Heathrow demonstrates more varied interaction patterns. All groups dominate their respective Facebook page and group networks apart from HACAN Clearskies which has non-assigned leaders controlling information dissemination in the group. Time series analysis uncovered variations in social media usage; overall for all three campaign groups Twitter was utilised more than Facebook. [Continues.

Influence-based Twitter browsing with NavigTweet

Directed links in social media determine the flow of information and, hence, indicate a user's influence. This paper proposes a novel visual framework to explore Twitter's ‘Who Follows Who’ relationships, by browsing the friends’ network to identify key influencers based on the actual influence of the content they share. We have developed NavigTweet, a visualization tool for the influence-based exploration of Twitter network. NavigTweet embeds a force-directed algorithm to display the graph in a multi-clustered way. To assess the user experience with NavigTweet, we have conducted a pre-release qualitative pilot study. We also report on the study and results of post-release user feedback survey