Twitter, a microblogging platform, has been increasingly used as a tool for political election campaigns. In an attempt to persuade people to vote for them, candidates and political parties worldwide have begun to incorporate Twitter in their campaigns to disseminate campaign information, promote themselves, and mobilize voters. In the 2016 U.S presidential election, Donald Trump had actively utilized Twitter to promote his campaign and convince voters to support him, which helped him earn a strong presence and huge popularity on Twitter. Eventually Trump even successfully got elected as the 45th US president. Although the rise of Twitter in political campaigns has been studied by researches from different disciplines, there have been very few studies focusing on Donald Trump or his communication performance on social media in the 2016 US presidential campaign. Besides, it is found that there is a lack of studying candidates’ social media use from the perspective of persuasive communication. In order to reveal how Donald Trump was making use of Twitter to influence audiences’ attitudes, this paper will present a content analysis of Donald Trump’s Twitter use from the perspective of persuasive communication. Specifically, the study will investigate the characteristics of messages demonstrated from Donald Trump’s tweets, and examine whether his messages placed an emphasis on certain aspects. The aim of this study is to offer insights into Donald Trump’s Twitter use, particularly about his persuasive communication on Twitter during the political election campaign.

This diploma thesis deals with the topic of social networks in a role of source for print and online media. Quantitative content analysis was conducted to prove whether Czech daily newspaper and their online non-subscription news platforms use social networks as a source of information for national news. In a whole ten media outlets were examined, five dailies with national coverage and five related online news platforms. Several highly exposed events in date range of August 2010 - June 2012 were identified and their media coverage was analysed in selected media during the research.

Sociala medier är en ny medieplattform som har börjat konkurrera med traditionella medier. Inom svensk politik har TV, radio och tidningar varit de största plattformarna för politiska aktörer att profilera sig. För en politisk aktör har sociala medier däremot skapat nya möjligheter att på ett billigare, snabbare och mer tidseffektivt sätt nå ut till väljarna. Facebook och Twitter två sociala medier som det mest frekvent talas om där Facebook är det största sociala mediet. Där kan aktörerna både lägga ut bilder, skapa grupper och skapa ”gilla” sidor. Forskning kring sociala medier visar på att det bidrar till en starkare och större mobilisering både fysiskt och över internet. Forskningen visar även på hur sociala medier idag leder till att relationen mellan medier och partier/politiker blir mer dynamisk. Studien redovisar och analyserar de politiska sekreterarnas åsikter utifrån tre teorier: offentlighet, tvåstegshypotesen och gestaltning. Dessa är valda för att visa på sociala mediers användningsområden och faktiska användning. Samt semistrukturerade intervjuer med de politiska sekreterarna ligger till grund för empirin. Resultatet visar på att sociala medier har en central roll i Huddingepartiernas arbete där förmågan att själva forma och publicera nyheter har stor betydelse. Möjligheten att kunna påverka nyheter och effektivt kunna nå ut till väljare är två viktiga funktioner som sociala medier har. Resultatet visar också på att partiernas förmåga att själva agera opinionsledare har ökat och i enlighet med forskningen kunna mobilisera väljare i större utsträckning. Studien hoppas kunna bidra till att påvisa hur sociala medier används och kan användas i svensk politik, hur dess roll blir mer avgörande i takt med den teknologiska utvecklingen.

Etableringen av sociala medier har skapat ett nytt medielandskap där beslutsfattare och politiker kan kommunicera direkt med allmänheten. Donald J. Trump är en politiker som valt att kom- municera med sin publik via twitter. Han misstror traditionell medias förmåga att objektivt återge hans utsagor och underminerar journalistiken genom att använda begrepp som ’fake news’. Att en amerikansk presidenten twittrar är inget nytt fenomen men frekvensen och reto- riken i Donald J. Trumps tweets är något nytt. Dessa nya medievanor kan få konsekvenser inom flera sektorer inte minst på finansmarknaden. Vilken påverkan hans twittrande har på aktiemarknaden är frågan som behandlas i denna uppsats. Uppsatsens syfte är således att studera om Donald J. Trumps tweets påverkar Dow Jones In- dustrial Average (DJIA). Studien avgränsas till handelskriget mellan USA och Kina. Vidare avgränsas studien till en tidsperiod om ett år, från februari 2018 till februari 2019. Uppsatsen studerar enbart USA:s president Donald J. Trumps tweets. Studien genomförs genom event study som jämför normal returns innan händelsen (tweet) med den abnormal returns efter. Tweetsen är utvalda baserat på ett antal nyckelord som testas inom varaktighetsfönster på 5, 10, 15 och 20 minuter, vilket ger uttryck för hur länge effekten varar. Resultatet visar att 8 av 12 tweets har en statistisk signifikant påverkan på DJIA på antingen 1%, 5% eller 10% signifikansnivå. Studien tyder således att presidentens twittrande påverkar DJIA. Slutsatsen av studien är att Donald J. Trumps tweets utgör information som påverkar värde- ringen på aktiemarknaden (DJIA) och dess avkastning. Därför kan konstateras att sociala me- dier, såsom Twitter, är informationskällor som är högst väsentliga att följa för aktörer på finansmarknaden. Vidare får resultatet implikationer för rådande lagstiftning och regleringar, något som redan diskuteras i USA. Studier på området har varit svåra att finna varför vidare forsk- ning på området vore önskvärt.

This research was conducted in order to study and analyze the online discourse in Japanese. It is a Twitter-specific study on the Japanese linguistic features of computer-mediated communication. A total of 887 tweets from 30 Japanese celebrities between ages 19-31 were divided by age, gender, degree of formality and genre, and a content analysis was conducted on them to compare the use of orthographic and lexical features by using previous studies by Nishimura (2003) and Miyake (2007) as a framework. The results show that Twitter was most commonly used for replies to other Twitter users, to maintain social media presence and for self-promotion. Tweets were most commonly sent via iPhone, written in informal style. The findings also offer further proof on how strongly the graphic signs are part of online communication, and confirm that many technology-inspired slang words and abbreviations are created for different media platforms.

Social media has over the years partly become a platform to express opinions and discuss current events. Within the field of Computer Science, Twitter has been used both as the basis for political analysis - for example using sentiment analysis to predict election results - and within the field of cluster analysis, where the question of how to best design and use an algorithm to extract topics from tweets has been studied. The ClusTop algorithm is specifically designed to cluster tweets based on topics. This paper aims to explore whether it is possible to (a) use an implementation of the ClusTop algorithm to identify topics connected to tweets about Trump and Clinton just before the American 2016 election, and (b) distinguish between the topics used in connection with a specific candidate in states where they won versus states where they lost the election. The problem is approached through the method of a controlled experiment where the data collected from Twitter is divided into groups and run through the ClusTop algorithm. The topics are then compared to draw tentative conclusions about their validity as a basis for election prediction. The study finds that it is indeed possible to adapt the ClusTop algorithm to use with tweets and geolocation to identify different topics, thus confirming the usefulness of the algorithm. In addition to this, the study confirms that manually examining the words used within the topics makes it possible to see differences between them. The work thereby places itself in the tradition of exploring how Twitter can be used for election prediction by being one of the first studies to look at clustering as a way of approaching the problem.

Submitted by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-07-17T18:44:48Z No. of bitstreams: 1 DIS_JEFERSON_CRISTIANO_CORTES_ZAMBOM_CARDOSO_COMPLETO.pdf: 2414682 bytes, checksum: a28fa961a9801c5698c6ff6e48429406 (MD5) / Made available in DSpace on 2017-07-17T18:44:48Z (GMT). No. of bitstreams: 1 DIS_JEFERSON_CRISTIANO_CORTES_ZAMBOM_CARDOSO_COMPLETO.pdf: 2414682 bytes, checksum: a28fa961a9801c5698c6ff6e48429406 (MD5) Previous issue date: 2017-03-28 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / This dissertation analyzes the phenomenon called binge-watching and how this new way of watching television is changing the behavior of viewers who come to play roles of users, hiperviewers and multipliers. For this was done an anlytical in two stages. In the first was done an monitoring, measurement and analysis of the comments of this public on Twitter before, during and after the launch of sitcom Orange Is The New Black (OITNB), production of Netflix, in addition to posts in Brazilian official accounts (@OITNBrazil) and American (@OITNB) to check public behavior in these spaces. In the second stage was done an monitoring, measurement and analysis of the comments of this public on Twitter before, during and after an marathon simulation, in the pay television, of sitcom The Walking Dead (TWD), production of AMC, displayed by Fox, in addition to posts in Brazilian official accounts (@TWDBrasil) and American (@WalkingDead_AMC), to see what changes when the binge-watching is spontaneous, occurring in a file environment, in which one can determine when will be marathon or not, or when the binge-watching is induced, occurring in a flow environment in which the viewer can not determine when it will do the marathon, can only choose whether to follow what it is being broadcast on television or not. It was contacted that the official accounts are restricted to participation of moderators and in Brazil the public does not use the term binge-watching, but marathon, watching the series mainly on launch day, when in file, and not having a strong attachment to the simulations. To support this research were used authors as Jenkins (2009), Kinder, (1991), Cannito (2010), Bauman (2008/2009/2013), Anderson (2006), Jenkins, Green and Ford (2014), Lipovetsky and Serroy (2012), Johnson (2012), Shirky (2011), Scolari (2014), Mattos (2013), Negroponte (1995), Eco (1986), Foucault (2002), Wolton (1996) and McLuhan (1979).. The methodology used was the Depth Hermeneutics as Thompson's vision (1995), using as technique of structuring data collection Bardin's Content Analysis (2011) and the analysis of data Computer Discourse Mediated Analysis (CDMA ) Herring (2004). / Esta disserta??o analisa o fen?meno chamado binge-watching e como esse novo modo de assistir televis?o vem modificando o comportamento dos telespectadores, que passam a desempenhar pap?is de usu?rios, hipertelespectadores e multiplicadores. Para isso foi realizada uma an?lise em duas etapas. Na primeira foi feito um acompanhamento, mensura??o e an?lise dos coment?rios desse p?blico no Twitter antes, durante e ap?s o lan?amento do seriado Orange Is The New Black (OITNB), produ??o do Netflix, al?m das postagens nas contas oficiais brasileira (@OITNBrazil) e americana (@OITNB), a fim de verificar o comportamento do p?blico nesses espa?os. Numa segunda etapa foi feito um acompanhamento, mensura??o e an?lise dos coment?rios desse p?blico no Twitter antes, durante e ap?s uma simula??o de maratona, na televis?o paga, da s?rie The Walking Dead (TWD), produ??o da AMC, exibida pela Fox, al?m das postagens nas contas oficiais brasileira (@TWDBrasil) e americana (@WalkingDead_AMC), a fim de verificar o que modifica quando o binge-watching ? espont?neo, ocorrendo em um ambiente de arquivo, no qual a pessoa pode determinar quando vai maratonar ou n?o, ou quando o binge-watching ? induzido, ocorrendo em um ambiente de fluxo, no qual o telespectador n?o pode determinar quando ir? fazer a maratona, podendo apenas escolher se ir? acompanhar o que est? sendo transmitido pela televis?o ou n?o. Contatou-se que as contas oficiais ficam restritas a participa??o dos moderadores e que no Brasil o p?blico n?o utiliza o termo binge-watching, mas sim maratona, assistindo aos seriados principalmente no dia do lan?amento, quando em arquivo, e n?o tendo uma forte ades?o as simula??es. Para embasar essa pesquisa foram usados autores como Jenkins (2009), Kinder (1991), Cannito (2010), Bauman (2008/2009/2013), Anderson (2006), Jenkins, Green e Ford (2014), Lipovetsky e Serroy (2012), Johnson (2012), Shirky (2011), Scolari (2014), Mattos (2013), Negroponte (1995), Eco (1986), Foucault (2002), Wolton (1996) e McLuhan (1979). A metodologia utilizada foi a Hermen?utica de Profundidade conforme a vis?o de Thompson (1995), usando como t?cnica de estrutura??o da coleta de dados a An?lise de Conte?do de Bardin (2011) e para a an?lise dos dados a An?lise de Discurso Mediada por Computador (CDMA) de Herring (2004).

The aim of this work is to map fake Czech profiles on social networks Facebook and Twitter. "Fake profiles" in this case mean those where authors are acting as a well-known person, company or institution. Best known Czech profiles are Twitter's @schwarzenbergk, @kardinalvlk or @ovcacek_jiri and Facebook profile @jiriovcacekunofficial. After a general introduction to the topic, which includes, among other things, a brief look at the topic of political satire and the introduction of social networks, including the regulation they take to protect personality, the main part follows. It analyzes 8 different Czech false profiles. The content of the posts, the account statistics, the most successful posts and possibly other related information are presented. An important part of the work are interviews with authors of these profiles as well as with counterparts: real people or companies. This offers a close look at the backstage of the creation and running of the profile and, on the other hand, the possibility to gain the reaction of the concerned party. A comparative analysis of false and real Jiří Ovčáček's Facebook profiles is conducted in this part as well. The next section is included in order to bring a wider view of the issue. It is devoted to similar profiles abroad, which gives the possibility...

Religious belief and attendance predict improved well-being at the individual level. Paradoxically, geographic locations with high rates of religious belief and attendance are often those with the differentially high rates of societal instability and suffering. Many of the consequences of religiosity are context-based and vary across time, and holy days are naturally-occurring religious cues that have been shown to influence religiously-relevant attitudes and behaviors. I investigated the degree to which personal religiosity and religious geography (i.e. religious demographics with other location variables) individually and interactively predict well-being across days of the week. In the first study, American Christians demonstrated greater well-being by expressing more positive sentiment in Twitter posts, while American Muslims displayed less well-being. Sundays were generally the most positive day, but American Muslims communicated more happiness on Fridays (the Muslim holy day). In the second study, Christianity did not predict increased well-being in the posts of college students. In the third study, global survey data with measures of religiosity and well-being indicated that the well-being consequences of religious affiliation depend on the religious group and location, and that people tend to be especially positive on their group’s holy day. Study four explored the latent topical content of Twitter posts. Across studies, religious minority status appeared to have a deleterious effect on well-being.

While journalists were once viewed as gatekeepers, dispensing news and information via one-way communication channels, their role as information provider has evolved. Nowhere is this more apparent than on the social networking site Twitter, where information seekers have unprecedented access to information providers. The two-way communication that these information seekers have come to expect can be challenging for organizations such as ESPN who have multiple Twitter accounts and millions of followers. By designating one team of people as responsible for the organization's largest Twitter account, SportsCenter, ESPN has sought to establish manageable methods of interacting with this account's followers, while furthering the goals of the organization and providing sports news around the clock. This study provides a better understanding of the group responsible for ESPN's SportsCenter Twitter account: the motivation and strategies behind the group's Twitter use as well as the dynamics of this network, such as information flow and collaboration. Relying on the Information Seeking and Communication Model, this study also provides a better understanding of information exchanges with those outside the network, specifically a selection of the account's Twitter followers. Additionally, the role of journalist as information provider and certain themes that emerged from the content of the tweets are discussed. The research employed social network analysis and exploratory, descriptive case study methods. The results of this study contribute to social network and information theory as well as to journalistic and information science practice.