Search Results

1 - 10 of 351 items :

Clear All

References 1. Abbasi, A., Rashidi, T. H., Maghrebi, M., Waller, S. T. (2015), “Utilising location based social media in travel survey methods: bringing Twitter data into the play”, in Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, Bellevue, WA, USA, ACM. 2. Amaro, S., Duarte, P., Henriquez, C. (2016), “Travelers’ use of social media: A clustering approach”, Annals of Tourism Research, Vol. 59, pp. 1-15. 3. Antoniadis, K., Zafiropoulos, K., Varna, V. (2015), “Communities of followers in tourism Twitter accounts of

Introduction Political communication today is shaped by complex interactions between media coverage, public opinion and online content in a diversified media landscape. The variety of platforms supplying news and information, as well as the variety of actors involved, has allowed both a diferentiated networked media agenda and a networked public agenda to develop ( McCombs et al., 2014 ). The focal point of this study is how the aggregated networked political agenda on Twitter difers from that of traditional media during mediated political events. Twitter is one

References BARTHEL M., SHEARER E., GOTTFRIED J., MITCHEL A., (2015), The Evolving Role of News on Twitter and Facebook, [online: February 3, 2018], BONILLA Y., ROSA J. (2015), #Ferguson: Digital protest, hashtag ethnography, and the racial politics of social media in the United States”, American Ethnologist, vol. 42, issue 1, p. 4 - 17 BROOKS R., 2015, Hashtags Explained: The Complete Guide to Hashtags in Social Media, [online: February 3, 2018], http

References ARENDARSKA J., Elektroniczna dyplomacja - nowe narzędzia komunikowania w dyplomacji [online: June27,2017],; BUD (2013) Hashtag Politics: The Polyphonic Revolution of #Twitter, vol.1., Pepperdine Journal of Communication Research; Council of the European Union, Conclusions on electronic diplomacy [online: June 25, 2017],; Dyplomacja

share their personal information. How to identify these users from the pool of Internet users then becomes an important and urgent research question in this direction. Interested in answering this question, it has been developing computational techniques to help classify Twitter public accounts into privacy-concerned and privacy-not-concerned groups. Twitter has over 330 million active users ( Statista, 2016 ). When an individual creates an account on Twitter, they only must type their complete name, email address, and password. In 2014, Twitter announced

, David W. (2015): Dissecting a social botnet: Growth, content and influence in Twitter. In CSCW ‘15: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing , 839–851. available at doi:10.1145/2675133.2675208 Asahi, Shimbun (2017): Asahi poll: 70% not buying Abe’s justification for calling snap poll’, The Asahi Shimbun (28 September): available at . Benedict, Ruth (2006): The Chrysanthemum and the Sword , Houghton Mifflin Harcourt. Berger, Thomas U. (2003): The Cultures

., Poorthuis, A., Graham, M., Zook, M. Mapping the Data Shadows of Hurricane Sandy : Uncovering the Sociospatial Dimensions of ‘Big Data’. Geoforum, 2014/03/01, 52, pp. 167–179. 26. Ash, J., Kitchin, R., Leszczynski, A. Digital Turn, Digital Geographies? Progress in Human Geography, 2016/08/24. 27. Schweitzer, L. Planning and Social Media : A Case Study of Public Transit and Stigma on Twitter. Journal of the American Planning Association, 2014, Vol. 80, Issue 3, pp. 218

Twitter, can be one of the most useful communication channels in this aspect. The research focused on the organisational use of Twitter. It is the largest microblogging site. Since 2010, the number of Twitter users has increased more than 10 times from 30 million users (number of monthly active users) to 336 million in the first quarter of 2018 ( The conducted research in most cases concerned the use of social media services in American nonprofit organisations (e.g. Guidry, Saxton and

:// ; APPLEBAUM A. (2015), Twitter account [online: February 12, 2016], ; BARTKOWSKI M. (2015), Congress: Keep an eye on Kaczyński’s Poland [online: February 26, 2016], ; BBC News (2015), Smolensk air crash: Poland’s Tusk targeted by new government [February 26,2016], ; DIEHL J. (2015), Poland’s disturbing

References Börner, K., T., M. J., & L., G. R. (2004). The simultaneous evolution of author and paper networks. Proceedings of the National Academy of Sciences. Crane, R., & D., S. (2008). Robust dynamic classes revealed by measuring the response function of a social system. Proceedings of the National Academy of Sciences. Culotta, A., Ravi, N. K., & Cutler, J. (2015). Predicting the Demographics of Twitter Users from Website Traffic Data. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Austin, Texas, USA. Dunbar, R. I. (1992