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Twitter Pres slides3
 

Twitter Pres slides3

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    Twitter Pres slides3 Twitter Pres slides3 Presentation Transcript

    • 1 TWITTERSPHERE #ausvotes AUGUST 2012Company Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • WHAT IS TWITTER? 2 • Twitter is a microblogging technology • Handle: is your Twittername beginning with the @symbol • Tweets: are statements of 140 characters shared in the Twittersphere • Followers: are people on Twitter who subscribe to receive your tweets • Following: are the people whose tweets you have subscribed to receive on your feed • Hashtags (#): are a key word added to a tweet which allows a community to form around a topic for information and discussion • Retweet is one of your tweets that a follower has forwarded to their followers • @replies: are direct responses to your tweet, using your handle like an address • Direct Messages: are hidden emails you can send to your followersCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • 3Company Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • 4Company Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • WHO IS USING IT – THE TWITTERATI? 5 • Celebrities • Public personalities such as politicians, activists, journalists, academics, public intellectuals • Citizens • Businesses, NGO’s and organisations (Amnesty etc) • Joke/amusing (Kim Kierkegaardashian – Kierkergaard mashed with KK) • Spam/adult • Twitter can adapt to different needs for different personalitiesCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • 6 THE SIX ELEMENTS OF HUMAN BEHAVIOUR THAT DRVE SOCIAL MEDIA (http://www.businessesgrow.com/2012/02/21/the-six-elements-of-human-behavior-that- drive-social-media/) • Altruism • Hedonism • Homophily • Memetics • Narcissism • Tribalism • Can we think of any more? FOMO, Crowdpleasing/approvalCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • TRENDING 7 • Twitter monitors the use of hashtags and if they become popular enough, they become a ‘trend’ • Twitter lists topics that are trending on the left of the screen • Users can click on a trend and see the conversation that is taking place around it • Users can use trends to find like-minded users to follow TRENDSCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • ALGORITHMS, SPAMBOTS AND KLOUT 8 • Trends and suggested followees are determined by algorithms • If a hashtag is mentioned by enough people to become popular, it is ‘trending’ • Trending is personalised according to your interests. This was changed to make trending more relevant due to excessive Bieber • Why do random people follow me on Twitter? • Visit: https://twitter.com/Horse_ebooks • Klout 3rd party app: ‘social influence score’ (uses other platforms too) • Problem with Twitter: ‘too much noise’. Users have followed so many accounts that they can no longer understand their own feedsCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • HEY ‘TRENDING’ SOUNDS A BIT LIKE MARKETING - 9 #ausvotes AND TWITTER AS A SOCIAL RESEARCH TOOL • Visit: Twitter followers for sale on ebay http://www.ebay.com.au/sch/i.html?_from=R40&_trksid=p3984.m570.l1313& _nkw=twitter+followers&_sacat=See-All-Categories • Can they be used effectively? • #ausvotes hashtag is the community for Australian political discussion. • Visit: #ausvotes https://twitter.com/#!/search/?q=%23ausvotes&src=hashCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • BRUNS’ #ausvotes DATASET 10 • Article is example of gleaning information from a dataset • Apps for gleaning data from Twitter include Twapperkeeper, Gawk and Wordstat • Fields analysed in the 2010 #ausvotes dataset were mentions, retweets, @replies and connectivity • Problems with the dataset: inability to capture follow-on discussion and retweet fakery.Company Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • BRUNS’ #ausvotes STATS 11 • #ausvotes tweets spike around big election events: election day, the debate, some policy announcements • An average of 22% of tweets contained URL’s • 33% were retweets and 20% were @replies – ie. over 50% were responses • Tweets around the big events were directed to the public discussion • During breaking news such as a flood, @replying is less statistically prevalent • Abbott is mentioned more than Gillard, Gillard had most traffic • Twitter users particularly interested in NBN – stats reflect Twitter demographicCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • OVERALL… 12 • Stats may be of interest to political pollsters though it seems Twitter discussion is not driven by the direction of politicians • #ausvotes was engaged with itself as a public • Bruns concluded from the above information that #ausvotes was “subcultural and fannish”, ie. subversive and parodic • Users of #ausvotes are ‘hardcore’ or ‘diehard’. Also internet and Twitter users, hashtag users. • Formerly unconnected people meeting over hashtags? Possibly not, but at least the group might encourage new voicesCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • LEADERS’ AND JOURNALISTS’ DATA 13 • The two nodes in the network which received the most amount of traffic (replies and retweets) were Latika Bourke and Annabel Crabb • These two journalists had the highest betweenness centrality, which is a type of data representation or data visualisation that is becoming very popular on the web. • Betweenness centrality is based on the frequency with which a node is the shortest point between two nodes in a dataset • In this case continued use of an ‘information conduit’ would indicate some faith in it • This kind of data visualisation is forming the heart of what they are calling data journalism • Watch http://www.youtube.com/watch?v=YaGqOPxHFkc&feature=relatedCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • CONCLUSIONS 14 • The article displays the potential for Twitter for infometrics. • More conclusions will be able to be reached as the data becomes older • The main potential for Twitter is enabling non-geographic communities and live news gathering which have discursive aspects rather than a top-down generation • A study from a German election concluded that statistical dominance of mentions of a leaders name was enough to predict outcome – not so in this caseCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • QUESTIONS AND THOUGHTS 15 • Do the statistics and infographics tell us much about people in general, people who use Twitter, or not much about people at all? • What does the fuss around ‘trending’ really mean? Is popularity necessarily admirable or desirable? What does it obscure? • Is the organisation of progressive movements the real indicator of Twitter’s democratic potential, or is the information it generates just more ‘tyranny of the majority’? • Need to consider infometrics in terms of epistemology – stay alert • Discussion question: remember the 6 reasons for using social media I showed before in relation to data journalism. What do you think we need to keep in mind about the relationship between complex motivations and data? THANK YOUCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis
    • THIS IS THE PAGE TITLE And this is the subtitle 16 Column Header Column Header Column Header List Item Title Section Item Section Item Section ItemCompany Proprietary and Confidential Copyright Info Goes Here Just LikeThis