scholarly journals News Organizations in Colombia Building Consensus through Social Media: A Case of Digital-Native La Silla Vacía

2021 ◽  
Vol 2 (1) ◽  
pp. 62-76
Author(s):  
Vanessa de Macedo Higgins Joyce

Correlation of different segments of society is a major function of mass media and works by broadening individual’s perspectives and creating common ground between these different segments Little is known about how consensus building works in the networked, digital environment or how it works in Latin America. This study explores the premise on a social media page from a digital-native news organization in Colombia, La Silla Vacía, on the salient issue of Venezuela. It found that the news organization did provide a common ground within its comments, bringing men and women closer together in consensus (rs = 0.76, n = 10, p < 0.05) of the priorities of topics relating to Venezuela (substantive attributes). The study did not find a significant correlation between the topics prioritized by the posts and the topics prioritized by the comments. Audiences focus on Venezuela in relation to the local Colombian presidential election while the news organization focused on the country in relation to refugees and the political transition happening in Venezuela.

2020 ◽  
Vol 12 (1) ◽  
pp. 30
Author(s):  
Ana Fitriana P ◽  
Ema Ema ◽  
Fardiah Oktariani Lubis

This study aims to uncover the political discourse of the Presidential Candidates after the second round of debates, Jokowi VS Prabowo in virtual space. The background of the political discourse of the 2019 Presidential Election debate in the virtual space gave rise to various responses and sentiments among the supporters. After the Presidential Election debate, the hashtag war between #BohongLagiJokowi and # 02GagapUnicorn on social media Twitter became the main discussion. The aim is to disperse the power, ideology, and interests behind the presidential political discourse through the Fairclough Critical Discourse Analysis. The research method uses qualitative methods to parse the problem in research, using critical thinking as a basis for research. The results showed the tweet of Prabowo supporters trying to show stunts through language. The use of subject pronouns such as the word Mukidi to dwarf the subject, also uses the hashtags #DeletJokowi, #UnistallJokowi, and #BohongLagiJokowi as symbols of virtual communication. In contrast, the tweet of Jokowi's supporters sent a stuttering sentiment because they didn't understand the e-comer business. Hashtag # 02GagapUnicorn as a virtual symbol for organizing texts. In the order of messo or the production of text, the two supporters make a virtual symbol through the hashtag to become a topic of discussion on Twitter. In the situational or macro aspects are influenced by the post-truth phenomenon that is vague information whose source is unclear, have an impact on the inclusion of opinions on the assassination of certain characters. The advice, wise social media, understand and thoroughly source of information, is not affected by the use of certain metaphors, and at the stage of text, production needs to pay attention to the effects that will impact on the influence of social psychology of each supporter.Penelitian ini bertujuan untuk mengungkap diskursus politik Capres pasca debat putaran kedua, Jokowi VS Prabowo di ruang virtual. Dilatarbelakangi oleh lanskap diskursus politik debat Pilpres 2019 di ruang virtual yang menimbulkan berbagai tanggapan dan sentimen di antara kedua kubu pendukung. Pasca debat Pilpres perang tagar antara #BohongLagiJokowi dan #02GagapUnicorn di Twitter menjadi pembahasan utama. Tujuannya untuk membongkar kuasa, ideologi dan kepentingan di balik wacana politik Pilpres melalui analisis wacana kritis Fairclough. Metode penelitian menggunakan metode kualitatif untuk mengurai masalah dalam penelitian, dengan menggunakan pemikiran kritis sebagai dasar pijakan penelitian. Hasil penelitian menunjukan tweet warganet pendukung Prabowo berusaha menunjukkan pengkerdilan melalui Bahasa. Penggunaan kata ganti subjek seperti kata Mukidi untuk mengkerdilkan subjek, juga menggunakan tagar #DeletJokowi, #UninstallJokowi dan #BohongLagiJokowi sebagai simbol komunikasi virtual. Namun sebaliknya, tweet warganet pendukung Jokowi membuat sentimen dengan kata-kata gagap karena tidak memahami bisnis milenial (e-commerce). Tagar #02GagapUnicorn sebagai simbol virtual untuk pengorganisasin teks, sedangkan di tahapan produksi teks (messo) kedua pendukung membuat simbol virtual melalui tagar (#) untuk menjadi tren topik pembahasan di Twitter. Pada aspek situasional (makro) dipengaruhi oleh fenomena post-truth yaitu informasi-informasi samar yang tidak jelas sumbernya, berdampak terhadap penggiringan opini terhadap pembunuhan karakter tertentu. Sarannya, bijak bermedia sosial, pahami dan teliti sumber informasinya, tidak terpengaruh terhadap penggunaaan metafora tertentu, serta pada tahap produksi teks perlu memperhatikan efeknya yang akan berdampak pada pengaruh psikologi sosial masing-masing pendukung. 


2021 ◽  
Author(s):  
Andrea Bellovary ◽  
Nathaniel A. Young ◽  
Amit Goldenberg

Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use negative or positive language and which type of affect garners more engagement on social media? Does the political orientation of new organizations impact the affect expressed and engagement tweets receive on social media? The goal of this project is to examine these questions by investigating tweets of 24 left- and 20 right-leaning news organizations (140,358 tweets). Results indicated that negative affect was expressed more than positive affect. Additionally, negativity predicted engagement with news organizations’ tweets, but positivity did not. Finally, there were no differences in affect between left- and right-leaning political orientations. Overall, it appears that for news organizations, negativity is more frequent and more impactful than positivity.


Journalism ◽  
2016 ◽  
Vol 19 (11) ◽  
pp. 1497-1516 ◽  
Author(s):  
Danielle K Kilgo ◽  
Summer Harlow ◽  
Víctor García-Perdomo ◽  
Ramón Salaverría

The well-known phrase ‘if it bleeds, it leads’ describes the sensational approach that has penetrated the history of news. Sensationalism is a term without complete consensus among scholars, and its meaning and implications have not been considered in a digital environment. This study analyzes 400 articles from online-native news organizations across the Americas, evaluating the sensational treatment of news categories and news values, and their associated social media interaction numbers on Facebook and Twitter. Findings suggest that ‘hard’ news topics like government affairs and science/technology were treated sensationally just as often as traditionally sensationalized categories like crime or lifestyle and society. In addition, audiences are not necessarily more likely to respond to sensational treatments. This study also finds that online-native news organizations use sensationalism differently, and there is significant variation in publications from the United States, Argentina, Brazil, and Mexico.


2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984361 ◽  
Author(s):  
Masahiro Yamamoto ◽  
Alyssa C. Morey

This study, derived from campaign communication mediation models, examines how incidental news exposure on social media affects political participation. Analysis of two-wave panel data collected before the 2016 US presidential election shows that incidental news exposure on social media is associated with increases in offline and online political participation (1) through online political information seeking and (2) through online political information seeking and online political expression in serial. Interestingly, results show that incidental news exposure on social media also has a direct negative relationship with offline and online political participation. Implications for the political utility of social media are discussed.


2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Bruno Conrado Demartini Antunes ◽  
Alexandre Cappellozza

Social media is already one of the main sources of information for online users. In this context, the political debate has taken account of social media during the 2018 Brazil Presidential Election, where Brazilian virtual militants exchanged the debate to clash themselves. Offenses had the characteristics of trolling: a marginalized Internet culture that is increasingly appearing in the mainstream of social media This study aims to analyze how trolling actions could be perceived during the 2018 Brazilian elections, polarized between right and left-wings, by performing social network analysis using data from Twitter. Our results show that personal attacks intended to defame the participants and their ideologies before elections. Their influences on social media have shaped the patterns of attacks among militants on digital platforms, as well as endangering democratic values because of their ideals. The Brazilian presidential elections of 2018 demonstrate that trolling behavior produces a bellicose discourse on social media, where all sides influence and attack each other, which can lead to undemocratic discourses. Therefore, trolling behavior resulted in voters who were more concerned with debasing their opponents than paying attention to their presidential candidate proposals.


2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Silvanus Alvin

The purpose of the research is to show the political impression management of the president and vice president candidates, Prabowo Subianto and Sandiaga Uno in social media, in the presidential election 2019. Instagram is the focus of social media in the research. Specifically, the research would like to know the created impression in each Instagram account of the political figure, @Prabowo and @Sandiuno on August 10, 2018 to September 23, 2018. The method used in the research was content analysis method, which followed Simunjak Typology (2017) to know the candidate skills and virtues, disclosing private information, attacking political opponents, speaking in colloquial language, emphasizing particular issues. One of the interesting investigation results showed both Prabowo and Sandiaga used Instagram as a political tool to create their political impression as the religious candidates. Another result was Prabowo did not use his own social media account to offend his political rival, while Sandiaga offended incumbent candidates about the economic policy.    Penelitian ini bertujuan mengungkap manajemen citra politik pasangan capres-cawapres, Prabowo Subianto dan Sandiaga Uno di media sosial, dalam Pilpres 2019. Media sosial yang menjadi fokus kajian adalah Instagram. Lebih spesifik, penelitian ini ingin mengetahui citra yang dibangun di akun Instagram masing-masing tokoh politik, @Prabowo dan @Sandiuno dalam rentang 10 Agustus 2018 hingga 23 September 2018. Penelitian ini menggunakan metode analisis isi, yang mengikuti tipologi Simunjak (2017) untuk mengetahui kemampuan kandidat (candidate skills and virtues), kehidupan pribadi kandidat (disclosing private information), menyerang lawan politik (attacking political opponents), bicara bahasa sehari-hari (speak in colloquial language), dan penekanan isu tertentu (emphasizing particular issues). Salah satu temuan menarik dari penelitian inimenunjukkan baik Prabowo dan Sandiaga menggunakan Instagram sebagai alat politik untuk membangun citra politik mereka sebagaikandidat pemimpin yang religius. Temuan menarik lainnya yang muncul dalam penelitian ini adalah Prabowo tidak menggunakan akun media sosialnya untuk menyerang rival politiknya, sementara Sandiaga menyerang kandidat petahana tentang kebijakan ekonominya.


2021 ◽  
Vol 22 (2) ◽  
pp. 186-204
Author(s):  
Danielle K. Kilgo

Since the U.S. 2016 presidential election, journalists and news organizations have been forced to confront shifting racial, social and political climates, and re-evaluate practices and norms. However, news coverage of racism is complex, especially because the conceptualization of racism in society is discordant, and the parameters of racism are heavily debated. News coverage can contribute to this debatability, specifically when it presents issues of racism with certain linguistic and topical features. In a content analysis of social media posts from six of the Facebook pages maintained by national broadcast and newspaper organizations, the present study explores contextual and linguistic representations of racism, and how social media users on Facebook engage with news posted by these organizations. Results suggest representations in news coverage signal a public debate about what is and is not racism. Coverage heavily emphasized prominent figures, while social media audiences amplified Trump’s presence in social networks.


2021 ◽  
pp. 089443932110325
Author(s):  
Jeong-woo Jang

News shared on social media presents multiple layers of sources, from reputable news organizations to individual users who share news on social media. A web-based experiment investigated (a) whether the influence of a primary news source (news organization) on viewers decreases as it becomes less proximate with the presence of a more immediate source (individual user who shared news), and (b) if so, how the evaluations of both sources, along with a varying degree of issue relevance, affect viewers’ agreement with news position. Participants read one news article either shared on Facebook by a well-known celebrity or directly posted onto a news website. The perceived credibility of news organizations predicted viewers’ agreement with the news position, but only when the news was presented on a news web page so that the news organization was shown as the proximate source. When multiple sources were displayed, the influence of news organization credibility disappeared when the given news lacked personal relevance.


First Monday ◽  
2021 ◽  
Author(s):  
Luca Luceri ◽  
Felipe Cardoso ◽  
Silvia Giordano

Social media represent persuasive tools that have been progressively weaponized to affect beliefs, spread manipulative narratives, and sow conflicts along divergent factions. Software-controlled accounts (i.e., bots) are one of the main actors associated with manipulation campaigns, especially in a political context. Uncovering the strategies behind bots’ activities is of paramount importance to detect and curb such campaigns. In this paper, we present a long term (one year) analysis of bots activity on Twitter in the run-up to the 2018 U.S. midterm elections. We identify different classes of accounts based on their nature (human vs. bot) and engagement within the online discussion and we observe that hyperactive bots played a pivotal role in the dissemination of conspiratorial narratives, while dominating the political debate in the year before the election. Our analysis, in advance of the U.S. 2020 presidential election, reveals both alarming findings of human susceptibility to bots and actionable insights that can contribute to curbing coordinated campaigns.


2019 ◽  
Vol 6 (1) ◽  
pp. 205395171983523 ◽  
Author(s):  
Emad Khazraee

The fallacy of premature designations such as “Iran's Twitter Revolution” can be attributed to the empirical gap in our knowledge about such sociotechnical phenomena in non-Western societies. To fill this gap, we need in-depth analyses of social media use in those contexts and to create detailed maps of online public environments in such societies. This paper aims to present such cartography of the political landscape of Persian Twitter by studying the case of Iran's 2013 presidential election. The objective of this study is twofold: first, to fill the empirical gap in our knowledge about Twitter use in Iran, and second, to develop computational methods for studying Persian Twitter (e.g., effective methods for analyzing Persian text) and identify the best methods for addressing different issues (e.g., topic detection and sentiment analysis). During Iran's 2013 presidential election, three million tweets were collected and analyzed using social network analysis and machine learning. The findings provide a more nuanced view of the political landscape of Persian Twitter and identify patterns in accordance with or in contrast to those identified in the English-speaking Twittersphere around the 2013 presidential election. Persian Twitter was dominated by micro-celebrities, whereas institutional elites dominated English discourse about Iran on Twitter. The results also illustrate that Persian Twitter in 2013 was predominantly in favor of reformists. Finally, this study demonstrates that sentiment analysis toward political name entities can be used efficiently for mapping the political landscape of conversation on Twitter.


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