Communities of attention networks: introducing qualitative and conversational perspectives for altmetrics

Araújo, Ronaldo Ferreira de

doi:10.1007/s11192-020-03566-7

Cited by 15 publications

(12 citation statements)

References 23 publications

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“…O mesmo vale para os usuários que mais mencionam outros na rede [@vpfac (44) -cluster vermelho e @trindade_didi (39) -cluster verde-claro] que obtiveram alto grau de saída, tendo grau de entrada igual a 0. Similar a estudos que analisaram a formação de redes em torno do compartilhamento de artigos sobre o tratamento farmacológico da obesidade (Araujo, 2020), observamos que poucos nós concentram a maior parte dos relacionamentos, em posição de centralidade na rede, com relações mais unidirecionais, de forma que há papéis bem estabelecidos entre aqueles que se referem a um usuário e aqueles que são mencionados ou retuitados.…”

Section: Resultsunclassified

Desinformação e mensagens sobre a hidroxicloroquina no Twitter: da pressão política à disputa científica

Araújo

Oliveira

2020

AtoZ

Self Cite

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Introdução: A pandemia do novo coronavirus trouxe consigo um forte aliado responsável por tornar cada vez mais difícil o enfrentamento da doença, a desinformação científica. Opiniões negacionistas, teorias conspiratórias, oportunismo político são alguns exemplos de uso malicioso por trás da disseminação de informação sobre o vírus, seus efeitos, formas de tratamento e prevenção. Método: por meio de um estudo infodemiológico a pesquisa analisa o compartilhamento de informações no Twitter sobre a hidroxicloroquina, o medicamento que tem ganhado destaque quando se fala de um possível tratamento farmacológico da doença. Os dados foram coletados via Netlytic por meio do monitoramento da hashtag #hidroxicloroquinaja entre os dias 11 a 30 de maio e são analisados a partir da análise da rede de interação em torno do compartilhamento, compreensão dos termos frequentes e categorização das postagens. Resultados: Foram analisados 3.714 tweets e identificados 2.089 usuários, dos quais apenas 678 (32,4%) mantiveram algum tipo de conexão com outros usuários na rede. Os termos frequentes e sua distribuição indicam que a questão é protagonizada mais por aspectos políticos do que de saúde, com maior concentração de mensagens em poucos usuários e um grande número responsável por sua viralização. As categorias mais comuns foram “Ataque a agentes políticos” e “Descrença nas instituições epistêmicas”. Conclusão: No contexto estudado percebe-se que os valores da própria cultura científica, como reconhecimento e autoridade, vão ganhando novas camadas informacionais em disputa política em um momento no qual as instituições epistêmicas estão em declínio.

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Section: Resultsunclassified

Desinformação e mensagens sobre a hidroxicloroquina no Twitter: da pressão política à disputa científica

Araújo

Oliveira

2020

AtoZ

Self Cite

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“…Rather, we understand expressions in Twitter descriptions as a proxy to investigate the potential reach of scholarly documents outside of academia. We looked at Twitter descriptions using a dictionary of expressions for eight relevant categories of identity markers built on previous research [ 5 , 16 , 28 , 51 ] ( Table 1 ). We built a first version of the codebook by manually coding a sample of a thousand descriptions, and we then improved it through several iterations of the analysis, running the code, comparing with our manual coding, and then modifying the codebook accordingly.…”

Section: Methodsmentioning

confidence: 99%

“…Scholars thus looked to investigate the contexts in which research circulate on Twitter, understood as the dimensions that give meaning to indicators [ 4 ]. Challenges remain in capturing these contextual elements as digital scholarly communication studies need to move between the scales of individual documents and aggregated corpora where contexts may shift [ 5 ]. Methodological framework also need to account that information provided on Twitter is generated by users as well as not directly organized for research purposes [ 6 – 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…We hypothesize that the expressions employed by users to describe themselves act as identity markers through which they engage with other users [ 50 ]. Building on previous work on the identification of users sharing scholarly documents on Twitter, we identified 8 relevant categories of markers–academia, communication, political, professionnal, personal, organizations, publishers, and bots–to classify who tweet climate change research papers [ 5 , 16 , 28 , 51 ].…”

Section: Introductionmentioning

confidence: 99%

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Who tweets climate change papers? investigating publics of research through users’ descriptions

Toupin

Millerand²,

Larivière³

2022

PLoS ONE

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As social issues like climate change become increasingly salient, digital traces left by scholarly documents can be used to assess their reach outside of academia. Our research examine who shared climate change research papers on Twitter by looking at the expressions used in profile descriptions. We categorized users in eight categories (academia, communication, political, professional, personal, organization, bots and publishers) associated to specific expressions. Results indicate how diverse publics may be represented in the communication of scholarly documents on Twitter. Supplementing our word detection analysis with qualitative assessments of the results, we highlight how the presence of unique or multiple categorizations in textual Twitter descriptions provides evidence of the publics of research in specific contexts. Our results show a more substantial communication by academics and organizations for papers published in 2016, whereas the general public comparatively participated more in 2015. Overall, there is significant participation of publics outside of academia in the communication of climate change research articles on Twitter, although the extent to which these publics participate varies between individual papers. This means that papers circulate in specific communities which need to be assessed to understand the reach of research on social media. Furthermore, the flexibility of our method provide means for research assessment that consider the contextuality and plurality of publics involved on Twitter.

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“…Some functions used in tweets, like user mentions and hashtags, reflect specific interactions around scientific publications as well. For instance, user mentions establish the relationships among users who might be related to or interested in the mentioned research, based on which the communities of users sharing interest can be detected (Araujo, 2020; Pearce, Holmberg, Hellsten, & Nerlich, 2014; Said et al, 2019; Van Schalkwyk, Dudek, & Costas, 2020). Hashtags added in scholarly Twitter mentions indicate particular concepts in relation to the mentioned publications (Haustein, Bowman, & Costas, 2016); therefore, the adoption of hashtags provides the opportunities of identifying not only the connections among tweets or users focusing on the same topics (Costas, Rijcke, & Marres, 2020; Hellsten & Leydesdorff, 2020), but also the broader public concerns about some specific research topics (Haunschild, Leydesdorff, Bornmann, Hellsten, & Marx, 2019; Lyu & Costas, 2020).…”

Section: Introductionmentioning

confidence: 99%

How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications

Fang

Costas

Tian

et al. 2021

Asso for Info Science & Tech

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To provide some context for the potential engagement behavior of Twitter users around science, this article investigates how Bitly short links to scientific publications embedded in scholarly Twitter mentions are clicked on Twitter. Based on the click metrics of over 1.1 million Bitly short links referring to Web of Science (WoS) publications, our results show that around 49.5% of them were not clicked by Twitter users. For those Bitly short links with clicks from Twitter, the majority of their Twitter clicks accumulated within a short period of time after they were first tweeted. Bitly short links to the publications in the field of Social Sciences and Humanities tend to attract more clicks from Twitter over other subject fields. This article also assesses the extent to which Twitter clicks are correlated with some other impact indicators. Twitter clicks are weakly correlated with scholarly impact indicators (WoS citations and Mendeley readers), but moderately correlated to other Twitter engagement indicators (total retweets and total likes). In light of these results, we highlight the importance of paying more attention to the click metrics of URLs in scholarly Twitter mentions, to improve our understanding about the more effective dissemination and reception of science information on Twitter.

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Communities of attention networks: introducing qualitative and conversational perspectives for altmetrics

Cited by 15 publications

References 23 publications

Desinformação e mensagens sobre a hidroxicloroquina no Twitter: da pressão política à disputa científica

Desinformação e mensagens sobre a hidroxicloroquina no Twitter: da pressão política à disputa científica

Who tweets climate change papers? investigating publics of research through users’ descriptions

How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications

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