Renouvellement des formes langagières dans la communication sociale sur Twitter

2021 ◽  
Vol 9788879169776 ◽  
pp. 107-128
Author(s):  
Grégoire Lacaze

With the increasing development of social communication on social media networks, new linguistic forms have emerged thanks to the technological devices offered by digital platforms, which can be regarded as open spaces characterised by hypertextuality and polysemioticity. This research aims to analyse the typical features of the social media Twitter which is largely used by news media professionals and by political leaders for their official communication. As a sociotechnical digital communication platform, Twitter proves to be the most appropriate broadcast medium for live news since it tends to reduce social and geographical distances between Twitter users who can interact with each other by sending informal messages. Eventually, Twitter can often be viewed as the first social media network allowing transmedial quotations that circulate on other social networks.

2021 ◽  
Vol 9788879169776 ◽  
pp. 107-128
Author(s):  
Grégoire Lacaze

With the increasing development of social communication on social media networks, new linguistic forms have emerged thanks to the technological devices offered by digital platforms, which can be regarded as open spaces characterised by hypertextuality and polysemioticity. This research aims to analyse the typical features of the social media Twitter which is largely used by news media professionals and by political leaders for their official communication. As a sociotechnical digital communication platform, Twitter proves to be the most appropriate broadcast medium for live news since it tends to reduce social and geographical distances between Twitter users who can interact with each other by sending informal messages. Eventually, Twitter can often be viewed as the first social media network allowing transmedial quotations that circulate on other social networks.


2021 ◽  
Author(s):  
Emmanuel Etuh ◽  
Francis S. Bakpo ◽  
Eneh A.H

We live in a virtual world where actual lifestyles are replicated. The growing reliance on the use of social media networks worldwide has resulted in great concern for information security. One of the factors popularizing the social media platforms is how they connect people worldwide to interact, share content, and engage in mutual interactions of common interest that cut across geographical boundaries. Behind all these incredible gains are digital crime equivalence that threatens the physical socialization. Criminal minded elements and hackers are exploiting social media platforms (SMP) for many nefarious activities to harm others. As detection tools are developed to control these crimes so also hackers’ tactics and techniques are constantly evolving. Hackers are constantly developing new attacking tools and hacking strategies to gain malicious access to systems and attack social media network thereby making it difficult for security administrators and organizations to develop and implement the proper policies and procedures necessary to prevent the hackers’ attacks. The increase in cyber-attacks on the social media platforms calls for urgent and more intelligent security measures to enhance the effectiveness of social media platforms. This paper explores the mode and tactics of hackers’ mode of attacks on social media and ways of preventing their activities against users to ensure secure social cyberspace and enhance virtual socialization. Social media platforms are briefly categorized, the various types of attacks are also highlighted with current state-of-the-art preventive mechanisms to overcome the attacks as proposed in research works, finally, social media intrusion detection mechanism is suggested as a second line of defense to combat cybercrime on social media networks.


2018 ◽  
Vol 21 (4) ◽  
pp. 815-835 ◽  
Author(s):  
John Wihbey ◽  
Kenneth Joseph ◽  
David Lazer

The present work proposes social media as a tool to understand the relationship between journalists’ social networks and the content they produce. Specifically, we ask, “what is the association between the partisan nature of the accounts journalists follow on Twitter and the news content they produce?” Using standard text scaling techniques, we analyze partisanship in a novel dataset of more than 300,000 news articles produced by 644 journalists at 25 different US news outlets. We then develop a novel, semi-supervised model of partisanship of Twitter following relationships and show a modest correlation between the partisanship of whom a journalist follows on Twitter and the content she produces. The findings provide insight into the partisan dynamics that appear to characterize the US media ecosystem in its broad contours, dynamics that may be traceable from social media networks to published stories.


Author(s):  
Timothy James Neff ◽  
Dariusz Jemielniak

In this study, we explore two parallel but related networks of discourse that arose during the United Nations Framework Convention on Climate Change (UNFCCC) negotiations of 2019 in Madrid: one produced by news media coverage of the talks; the other by Twitter users who shared news content about the talks. As these networks disseminated information about the UNFCCC’s 25th Conference of the Parties (COP25), we see them as key channels of communication for a potentially transnational public sphere of dialogue and dissent, even if the existence or efficacy of such a transnational sphere is a matter of great debate (Fraser, 2007). Our aim is to compare the internal (within network) and external (across networks) homogeneity and homogeneity of these two networks in terms of structure (e.g., language, geographic groups, etc.), dominant topics, and sentiments. We find that a potential for the emergence of transnational public spheres lies in contradictory currents of homogeneity and heterogeneity in transnational networks related to 1) the social capital of certain actors; 2) institutional infrastructures such as U.N. processes; 3) media ownership structures; 4) different cultural practices.


Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381 ◽  
Author(s):  
S Cosa ◽  
AM Viljoen ◽  
SK Chaudhary ◽  
W Chen

Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.


2021 ◽  
Vol 9 (2) ◽  
pp. 285-300
Author(s):  
Krishanu Bhattacharyya ◽  
Bikash Ranjan Debata

Digitalisation is a global phenomenon that is a worthwhile proposition for the development of any nation’s economy. Social media contributes significantly to the development of an economy by the spreading and democratisation of information through global players, such as Facebook, YouTube, LinkedIn etc. According to a Forbes report in 2017, these digital platforms create new ecosystems and business models for business owners and entrepreneurs. Whilst a report by Statista in 2020 states that there were 3.6 billion social media users worldwide and the number is expected to grow to 4.4 billion by 2025. Return on Investment (ROI) measurement of social media, which is a very important component for organisations to evaluate its success or effectiveness, remains a major challenge for organisations, despite number of attempts having been made by experts in the field. This study is aimed at understanding how the success and effectiveness of social media is measured in a B2B scenario. Various frameworks on social media ROI measurement are critically evaluated. Then, a tool for measuring social media ROI is developed, such that businesses will be able to evaluate their social media investments. The instrument covers 14 variables over four dimensions.  The results indicate that respondents perceived organic return as the most important dimension. It is also evident that brand testament is found the least perceived dimension for measuring the social media ROI.


2017 ◽  
Vol 45 (3) ◽  
pp. 470-488 ◽  
Author(s):  
Joseph Gibbons ◽  
Atsushi Nara ◽  
Bruce Appleyard

Gentrification, the rise of affluent socioeconomic populations in economically depressed urban neighborhoods, has been accused of disrupting community in these neighborhoods. Social media networks meanwhile have been recognized not only to create new communities in neighborhoods, but are also associated with gentrification. What relation then does gentrification and social media networks have to urban communities? To explore this question, this study uses social media networks found on Twitter to identify communities in Washington, DC. With space-time analysis of 821,095 geo-tagged tweets generated by 77,528 users captured from 15 October 2015 to 18 July 2016, we create a location-based interaction measure of tweets which overlays the social networks of the comprising users based on their followers and followees. We identify gentrifying neighborhoods with the 2000 Census and the 2010–2014 American Community Survey at the block group level. We then compare the density of location-based interactions between gentrifying and nongentrifying neighborhoods. We find that gentrification is significantly related to these location-based interactions. This suggests that gentrification indeed is associated with some communities in neighborhoods, though questions remain as to who has access. Making novel use of big data, these results demonstrate the important role built environment has on social connections forged “online.”


Journalism ◽  
2018 ◽  
Vol 21 (5) ◽  
pp. 633-651 ◽  
Author(s):  
Theo Araujo ◽  
Toni GLA van der Meer

Since news circulation increasingly takes place online, the public has gained the capacity to influence the salience of topics on the agenda, especially when it comes to social media. Considering increased scrutiny about organizations, this study aims to understand what causes heightened activity to organization-related topics among Twitter users. We explore the extent to which news value theory, news coverage, and influential actors can explain peaks in Twitter activity about organizations. Based on a dataset of 1.8 million tweets about 18 organizations, the findings show that the news values social impact, geographical closeness, facticity, as well as certain influential actors, can explain the intensity of online activities. Moreover, the results advocate for a more nuanced understanding of the relation between news media and social media users, as indications of reversed agenda-setting patterns were observed.


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