2,975 research outputs found

    Digital diplomacy in GCC countries: strategic communication of Western embassies on Twitter

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    Drawing upon online communication research, this study identifies six effective communication strategies for social media-based diplomacy on Twitter: interactive, personalized, positive, relevant, and transparent communication among a broad network of stakeholders. By using an extensive mix-method design (i.e., combining a manual content and automated network analyses, N = 4438 tweets), this research examines to what extent these communication strategies are adopted on Twitter by Western embassies active in countries from the Gulf Cooperation Council. We found that embassies are not utilizing social media to its full potential. Although embassies are transparent, use positive sentiment in their online communication and post relevant information to their stakeholders, they hardly engage in direct interactive and personal communication, and only reach out to a limited group of stakeholders. We recommend embassies to put more emphasis on two-way interactive communication with a vast variety of stakeholders

    Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events

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    This paper investigates bias in coverage between Western and Arab media on Twitter after the November 2015 Beirut and Paris terror attacks. Using two Twitter datasets covering each attack, we investigate how Western and Arab media differed in coverage bias, sympathy bias, and resulting information propagation. We crowdsourced sympathy and sentiment labels for 2,390 tweets across four languages (English, Arabic, French, German), built a regression model to characterize sympathy, and thereafter trained a deep convolutional neural network to predict sympathy. Key findings show: (a) both events were disproportionately covered (b) Western media exhibited less sympathy, where each media coverage was more sympathetic towards the country affected in their respective region (c) Sympathy predictions supported ground truth analysis that Western media was less sympathetic than Arab media (d) Sympathetic tweets do not spread any further. We discuss our results in light of global news flow, Twitter affordances, and public perception impact.Comment: In Proc. CHI 2018 Papers program. Please cite: El Ali, A., Stratmann, T., Park, S., Sch\"oning, J., Heuten, W. & Boll, S. (2018). Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3173574.317413

    Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events

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    This paper investigates bias in coverage between Western and Arab media on Twitter after the November 2015 Beirut and Paris terror attacks. Using two Twitter datasets covering each attack, we investigate how Western and Arab media differed in coverage bias, sympathy bias, and resulting information propagation. We crowdsourced sympathy and sentiment labels for 2,390 tweets across four languages (English, Arabic, French, German), built a regression model to characterize sympathy, and thereafter trained a deep convolutional neural network to predict sympathy. Key findings show: (a) both events were disproportionately covered (b) Western media exhibited less sympathy, where each media coverage was more sympathetic towards the country affected in their respective region (c) Sympathy predictions supported ground truth analysis that Western media was less sympathetic than Arab media (d) Sympathetic tweets do not spread any further. We discuss our results in light of global news flow, Twitter affordances, and public perception impact.Comment: In Proc. CHI 2018 Papers program. Please cite: El Ali, A., Stratmann, T., Park, S., Sch\"oning, J., Heuten, W. & Boll, S. (2018). Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3173574.317413

    Analiza sentimenta sirijskog sukoba na Twitteru

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    Social media have become an important means of imposing ideas and interests in social‏ conflicts. The Syrian conflict is analysed using sentiment analysis of tweets in order to establish how the‏ sentiment shapes the modern political landscape and influences recipient knowledge. The importance of‏ social networks and their potential in overthrowing regimes as well as in radicalization are highlighted.‏ The authors suggest several stages that can be used for analysing tweets and how they impact the reader‏ with selected narration. Sentiment analysis is used on a trained data set as a way to gain insight into‏ tweets of different factions in the Syria conflict. Selected tweets on missile strikes were published on 14‏ April 2018 and the day after. The Twitter profiles of three different sides – pro-Assad, pro-West and anti-‏ Assad – were also analysed. The results show that there is a real battle on social media with the purpose‏ of influencing human emotions.‏Društveni mediji postali su bitna platforma za širenje ideja i interesa u društvenim sukobima. Za analizu sirijskog sukoba korištena je analiza sentimenta, kako bi se shvatilo na koji način sentiment oblikuje aktualno političko okruženje i utječe na znanje recipijenta. Rad ukazuje na važnost društvenih mreža, ali i na njihov potencijal u svrgavanju režima, kao i na sam proces radikalizacije. Autori predlažu nekoliko faza koje se mogu koristiti u analizi tweetova. Analiza sentimenta je korištena na treniranom skupu podataka kako bi se dobio uvid u tweetove različitih frakcija sirijskog sukoba. Odabrani tweetovi odnose se na raketni napadom 14. travnja 2018., kao i na dan nakon napada, 15. travnja 2018. Analizirani Twitter profili uključuju tri različite strane: pro-Assad, pro-Zapad i anti-Assad. Rezultati pokazuju da postoji stvarni sukob u društvenim medijima s ciljem utjecanja na ljudske emocije

    Examining social networking site narratives between government and youth on entrepreneurship : the case of relationship development in Egypt

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    Analysis of the ways in which SNS (Social Networking Sites) are used by governments, organisations and everyday users has over the past ten years been of significant interest to academic researchers. Part of this analysis of use has included understanding how in the Middle East, SNS were used in the series of anti-government protests known as the Arab Spring. Specifically, in Egypt, during the January 25 Revolution, a large number of youth users went on SNS such as Facebook to disseminate information, create conversations and raise awareness of their perspectives and concerns. Whilst use in protest and demonstration may result in aspects such as a drop in public trust of government agents, SNS could also contribute to significant relational outcomes such as relationship development and trust.This study takes Egypt as its foci in investigating the outcomes of SNS interaction between Government agencies and Youth users. This study aims to understand the role of the topic about which conversations are occurring in communicating with the citizens. Additionally, this study places emphasis on the role of the government agency in changing the perceptions of the Government through SNS interactions.This study contributes to the burgeoning domain of SNS studies by providing a non- traditional approach to its theoretical background. It specifically achieves this by adopting three areas of focus; first, SNS which includes a site and user perspective. Second, the political context which includes Marketing theory and government studies. Third, relationship development and trust which includes a multi theory lens into theorising the outcomes of SNS interactions. Therefore, it is the first study to apply Political Marketing Theory in Egypt in a non-electoral context. Using novel applications of Relationship Marketing and Public Relations theory, this study presents an understanding of the relationship orientation in the interaction between GOFE and Youth on SNS. Furthermore, the analysis regarding trust development in this study is developed through a framework that highlights both the users’ perspective of trust and the organisations' efforts towards achieving trust.This study adopts a social constructivist approach. Therefore, this investigation embraces qualitative inductive methods. Due to the rich culture and high interaction of the context investigated, the research problem at hand was addressed through the application of netnography. The Netnographic package includes; firstly, an online observation of Facebook pages followed by textual analysis. Secondly, it includes two sets of interviews with a sample of the users (i.e. Youth) and the organisations (i.e. GOFE). Using Thematic Analysis ten different themes were extracted from the three sources of data (i.e. Facebook data, GOFE interviews and Youth interviews).The findings from this study suggest that GOFE SNS representation is not yet mature. However, findings demonstrate that GOFE are in the process of becoming a generalisable model of government SNS representation. This could occur with the drop in control over engagement and movement to engagement strategies beyond those targeted primarily at publicity alone. Indeed, this study confirms the significant influence of SNS in fostering positive relational outcomes between the Government and Youth, while confirming the role of the topic and agency. These findings are discussed in light of theoretical contribution and practical implication to the government sector. Whereas previous studies have focused on one aspect of the communication process, this study is the first conducted in the public sector domain in Egypt that focuses on the observed behaviours of GOFE on SNS, perceived behaviours of GOFE by Youth and the strategic intent of GOFE by being present on SNS. This study concludes with limitations incurred and recommendations for practice and future studies. Finally, this study argues that with a further optimised SNS representation, there is indeed hope in developing relationships and achieving trust between Government and citizens in Egypt through SNS interaction
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