Telegram Channels and Bots: A Ranking of Media Outlets Based in Spain

Herrero-Solana, Víctor; Castro-Castro, Carlos

doi:10.3390/soc12060164

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Additionally, the existence of performance indicators, including interaction and political commitment, provides multiple opportunities for analysis. For instance, in this Special Issue, Herrero-Solana and Castro-Castro's study on Telegram and media underscores the issue of verification [26]. Social media also provides a public space for actors to interact, with new features such as gamification.…”

Section: The Tools: From Social Network To Artificial Intelligencementioning

confidence: 98%

Research on Digital Political Communication: Electoral Campaigns, Disinformation, and Artificial Intelligence

2023

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Section: The Tools: From Social Network To Artificial Intelligencementioning

confidence: 98%

Research on Digital Political Communication: Electoral Campaigns, Disinformation, and Artificial Intelligence

2023

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“…Recently, Telegram, a 4.0 style communication service, has become one of the most popular communication platforms in all spheres, especially related to education, art, business, finance, marketing, etc. (Herrero-Solana & Castro-Castro, 2022). Compared to print media, Telegram gives media discourse a unique advantage of interactivity as each public message receives immediate reaction in the form of emojis.…”

Section: Introductionmentioning

confidence: 99%

American social media on the Russia-Ukraine war: A multimodal analysis

Shevchenko

2022

Cognition, Communication, Discourse

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This research focuses on political narrative about the Russia-Ukraine war in American social media. It aims to investigate the type and configuration of multimodal semiotic resources used to present the events of this war and shape their perception by the audience, primarily American; The New York Times Telegram channel coverage of the 2022 Russian invasion as a case study. What kind of semiotic resources do American social media deploy to construct the narrative about the war? What are the dominant post formats, how they deploy information about the Russia-Ukraine war and construe its perception: the concepts of the war, of Ukraine as a victim of aggression and a fighter for independence, of Russia as a terrorist-state, and of their allies and opponents? Theoretically, this study is underpinned by a cognitive-semiotic, political linguistic and multimodal approach. In political media narrative, storytelling shapes perception of war realities: it frames and reframes the readers’ construal of the world, ascribes connotations to facts and events. A multimodal narrative involves different semiotic resources—verbal, graphic, audial, and cinematographic (in video). The configuration of these heterogeneous signs in a particular Telegram channel’s post defines its influence as predominantly rational or emotional. The findings show that the following post formats are typical for The New York Times Telegram channel: image followed by text and link to another site (the most frequent); gallery (a gallery of images) and quote (a quotation with its source/author as the title) (less frequent); video and audio (rarely used). They serve to accentuate, elaborate, and extend the information in the post. I argue that Telegram posts together with users’ emoji-reactions are a specific interactive genre of a multimodal political discourse. Emojis realize both pragmatic and cognitive functions: on the one hand, they are effective instruments to measure users’ reaction; on the other, they contribute to meaning-making by evaluating and making salient the concepts described. The dominance of rational and verified information in The New York Times Telegram channel creates the true image of Russia’s genocidal war against Ukraine and provides a fair assessment of related concepts.

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What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.ai

Verma,

Yuvaraj

2023

LHT

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PurposeIn recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023.Design/methodology/approachTo achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp.FindingsThe authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning.Originality/valueThis paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.

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Telegram Channels and Bots: A Ranking of Media Outlets Based in Spain

Cited by 5 publications

References 26 publications

Research on Digital Political Communication: Electoral Campaigns, Disinformation, and Artificial Intelligence

Research on Digital Political Communication: Electoral Campaigns, Disinformation, and Artificial Intelligence

American social media on the Russia-Ukraine war: A multimodal analysis

What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.ai

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