Social Data Visualization System for Understanding Diffusion Patterns on Twitter: A Case Study on Korean Enterprises

Online social media have been playing an important role of creating and diffusing information to many users. It means the users can get cognitive influence to the other users. Thus, it is important to understand how the information can be diffused by interactions among users through online social media. In this paper, we design a social media monitoring system (called "TweetPulse'') which can analyze and show meaningful diffusion patterns (DP) among the users. Particularly, TweetPulse focuses on visualizing information diffusion in Twitter, given a certain time duration. Also, this work has investigated the relationships 1) between DP and event detecting, 2) between DP and emotional words, and 3) between DP and the number of followers of the users. Thereby, to understand the continuous patterns of the information diffusion, we propose two different types of analytic methods, which are 1) macroscopic approach and 2) microscopic approach. For evaluating the proposed method, we have collected and preprocessed the dataset during about 4 months (14 March 2012 to 12 July 2012). As a conclusion, TweetPulse has helped users to easily understand DP from a large scale dataset streaming through Twitter

Yhteisöllinen tiedonrakentelu ja verkottunut asiantuntijuus Twitter-palvelussa : Case #okfest

Aims. This qualitative study explored a phenomenon of epistemic communality around a Twitter hashtag. The primary aim of the study was to explore communal epistemic production on the Twitter platform, especially in the context of a mutually shared hashtag. The study explored the peer-production of knowledge and epistemic structures in the context of a specialist domain collaborating in the open Web. The secondary aim was to explore how Twitter functions as a platform for networked expertise and as a public agora for practitioners' expert discourse. This nascent mode of cultural production leads to the development of expert cultures on Twitter and in the open Web. This creates new contexts for informal collaborative learning and cultral production potentially answering some of the competence challenges presented by the 21st century. Methods. The hashtag #okfest was launched for the 'Open Knowledge Festival' conference held in Helsinki, Finland (17–22.9.2012). The participants of the study were open knowledge practitioners who participated in the hashtag discourse of #okfest on Twitter. All public tweets containing the string '#okfest' were collected as data. Tweets were analyzed with qualitative thematic analysis exploring the epistemic contributions either included in the tweets or as hyperlinked attachments. Results and conclusions. The analysis indicated how the hashtag was appropriated to serve as a node of communal knowledge sharing beyond mere reporting from the conference. The analysis observed six themes of communal knowledge building in the hashtag space. The communal epistemic activities in #okfest were likened to the properties of a community of practice (Wenger, 1998). A network of practitioners engaging in a mutual domain creates a dynamic 'social learning system' combining social interaction with the production and dissemination of knowledge. The study yielded a novel theoretical concept of 'expert microblogging', recognized as a significant genre of cultural production in a specialist domain on Twitter and in the open Web. Finally the Twitter platform was ascertained as a site for the manifestation of cultures of networked expertise.Tavoitteet. Tämä laadullinen tutkielma tutki episteemistä yhteisöllisyyttä Twitter-palvelussa hashtag-aihetunnisteen ympärillä. Hashtag #okfest lanseerattiin Helsingissä pidetyn 'Open Knowledge Festival' –konferenssin taustakanavaksi 17–22.9.2012. Tutkielman pääasiallinen tavoite oli tutkia yhteisöllistä tiedonrakentelua Twitter-palvelussa erityisesti hashtagien ympärillä. Tutkimus kohdistui tietyn toimialan tiedolliseen vertaistuotantoon Twitterissä ja avoimessa Internetissä. Laajempi tavoite oli tutkia miten Twitter toimii alustana verkottuneelle asiantuntijuudelle ja julkisten asiantuntijayhteisöjen vuorovaikutukselle. Tämä uusi kulttuurisen tuotannon konteksti mahdollistaa verkottuneiden asiantuntijakulttuurien kehittymisen Twitterissä ja avoimessa Internetissä. Tämä luo uusia tilaisuuksia informaalille yhteisölliselle oppimiselle ja kulttuuriselle tuotannolle mahdollisesti vastaten nykyajan vaativiin osaamishaasteisiin. Menetelmät. Tutkimuksen osallistujat olivat avoimen datan ammattilaisia, jotka osallistuivat Twitterissä #okfest keskusteluun konferenssin aikana. Kaikki julkiset Twitter-viestit #okfest aihetunnisteella kerättiin aineistoksi. Viestejä analysoitiin laadullisella temaattisella analyysillä koskien niiden tiedollisia kontribuutioita joko viestiin sisältyen tai linkitettynä. Tulokset ja johtopäätökset. Tutkimustulokset osoittavat että hashtag-aihetunnisteen ympärille syntyi yhteisöllisen tiedonrakentelun ilmiö, joka oli enemmän kuin pelkkää raportointia tapahtumapaikalta. Analyysissä löytyi kuusi yhteisöllisen tiedonrakentelun teemaa jotka ilmenivät hashtag-tilassa. Yhteisöllinen tiedonrakentelu muistutti käytäntöyhteisöjen teoriaperinteen (Wenger, 1998) vuorovaikutuksen piirteitä. Asiantuntijoiden yhteisöllinen vuorovaikutus synnytti "sosiaalisen oppimisen systeemin" jossa tiedonrakentelu yhdistyi vuorovaikutukseen. Tutkimustuloksista nousi uusi käsitteellistys, asiantuntijoiden alakohtainen tiedollinen tuotanto (eng. expert microblogging). Twitter-alustalle paikantui verkottuneiden asiantuntijakulttuurien kehittyminen avoimessa verkossa

Dialogic interaction with diversified audiences in Twitter for research dissemination purposes

International research groups are expected to ensure global dissemination and visibility of their knowledge production, for which Twitter is effectively employed to reach diversified audiences. This paper analyses the dialogic dimension of tweets published in accounts of Horizon2020 research projects, where group’s productivity and work are promoted, and multiple readers addressed. Our study focuses on the use, in these Twitter accounts, of interactional pragmatic strategies, their verbal realisation through engagement markers, as well as on medium affordances and non-verbal markers. A sample of 1 454 tweets from 10 accounts of the EUROPROtweets corpus were coded and analysed through NVivo. The data-driven pragmatic analysis triggered the identification of 8 interactional strategies. We then quantitatively analysed the use of engagement makers and qualitatively studied the characteristic non-verbal markers with a dialogic function within each of these. Our findings will help understand the complexities of current digital academic professional practices, especially as regards the dynamics of dialogic interaction in social media. © 2022 Universidad Complutense de Madrid

Emerging Communication Technologies and Public Health Information Dissemination

Health promotion is a critical constituent of the public health system. Its primary objective is the empowerment of individuals and communities in the interest of positively influencing health behaviours and outcomes. One of the main ways in which successful health promotion is achieved is by the dissemination of relevant health information to individuals and communities. As global health costs rise to match the demands of an increasing and ageing population, such delivery of cost-effective public health information is explored. The recent advances in communication technologies have led to the development of social digital platforms (Web 2.0), with unprecedented opportunities for the extensive dissemination of relevant health information. The widespread uptake of social networking sites (SNS) presents a novel platform for public health promotion and management that can verily overcome the issues faced by current public health initiatives while reaching global populations of health consumers. This thesis aims to provide an exploratory analysis of the current landscape of health information communication across SNS, primarily through the platform Twitter. The research will address literature gaps in this cross-disciplinary field of health and communication sciences found for various SNS user-types, analyse and characterise the types of health information being disseminated across such platforms, as well as examine SNS activity during public health events. Public health officials and Web 2.0 platform developers can utilise findings from this thesis to address limitations of online public health-related communication insofar as they can assist with: a) advising plans for better engagement of information disseminated during health events; b) developing future applications and technologies that are appropriate for disadvantaged groups; c) identifying information dissemination strategies for authoritative health bodies and organizations to effectively reach populations