Étiquette : social media

Catégories
EN

Interdisciplinary Analysis of Science Communication on Social Media during the COVID-19 Crisis

Authors : Thomas Mandl, Sylvia Jaki, Hannah Mitera, Franziska Schmidt

In times of crisis, science communication needs to be accessible and convincing. In order to understand whether these two criteria apply to concrete science communication formats, it is not enough to merely study the communication product. Instead, the recipient’s perspective also needs to be taken into account.

What do recipients value in popular science communication formats concerning COVID-19? What do they criticize? What elements in the formats do they pay attention to? These questions can be answered by reception studies, for example, by analyzing the reactions and comments of social media users.

This is particularly relevant since scientific information was increasingly disseminated over social media channels during the COVID-19 crisis. This interdisciplinary study, therefore, focuses both on science communication strategies in media formats and the related comments on social media.

First, we selected science communication channels on YouTube and performed a qualitative multi-modal analysis. Second, the comments responding to science communication content online were analyzed by identifying Twitter users who are doctors, researchers, science communicators and those who represent research institutes and then, subsequently, performing topic modeling on the textual data.

The main goal was to find topics that directly related to science communication strategies. The qualitative video analysis revealed, for example, a range of strategies for accessible communication and maintaining transparency about scientific insecurities.

The quantitative Twitter analysis showed that few tweets commented on aspects of the communication strategies. These were mainly positive while the sentiment in the overall collection was less positive.

We downloaded and processed replies for 20 months, starting at the beginning of the pandemic, which resulted in a collection of approximately one million tweets from the German science communication market.

URL : Interdisciplinary Analysis of Science Communication on Social Media during the COVID-19 Crisis

DOI : https://doi.org/10.3390/knowledge3010008

Catégories
EN

The Twitter accounts of scientific journals: a dataset

Author : Andreas Nishikawa-Pacher

Twitter harbours dense networks of academics, but to what extent do scientific journals use that platform? This article introduces a dataset of 3,485 Twitter accounts pertaining to a sample of 13,821 journals listed in Web of Science’s three major indices (SCIE, SSCI and AHCI).

The summary statistics indicate that 25.2% of the journals have a dedicated Twitter presence. This number is likely to grow, as, on average, every one and a half days sees yet another journal setting up a new profile. The share of Twitter presence, however, varies strongly by publisher and discipline.

The most active discipline is political science, which has almost 75% of its journals on Twitter, while other research categories have zero. The median account issues 116 messages a year and it interacts with distinct other users once in two to three Tweets. Approximately 600 journals refer to themselves as ‘peer-reviewed’, while 263 journals refer to their citation-based impact (like the impact factor) in their profile description.

All in all, the data convey immense heterogeneity with respect to the Twitter behaviour of scientific journals. As there are numerous deceptive Twitter profile names established by predatory publishers, it is recommended that journals establish their official accounts lest bogus journals mislead the public about scientific findings. The dataset is available for use for further scientometric analyses.

URL : The Twitter accounts of scientific journals: a dataset

DOI : http://doi.org/10.1629/uksg.593

Catégories
EN

Whose research benefits more from Twitter? On Twitter-worthiness of communication research and its role in reinforcing disparities of the field

Authors : Chung-hong Chan, Jing Zeng, Mike S. Schäfer

Twitter has become an important promotional tool for scholarly work, but individual academic publications have varied degrees of visibility on the platform. We explain this variation through the concept of Twitter-worthiness: factors making certain academic publications more likely to be visible on Twitter.

Using publications from communication studies as our analytical case, we conduct statistical analyses of 32187 articles spanning 82 journals. Findings show that publications from G12 countries, covering social media topics and published open access tend to be mentioned more on Twitter.

Similar to prior studies, this study demonstrates that Twitter mentions are associated with peer citations. Nevertheless, Twitter also has the potential to reinforce pre-existing disparities between communication research communities, especially between researchers from developed and less-developed regions. Open access, however, does not reinforce such disparities.

URL : Whose research benefits more from Twitter? On Twitter-worthiness of communication research and its role in reinforcing disparities of the field

DOI : https://doi.org/10.1371/journal.pone.0278840

Catégories
EN

Are patents linked on Twitter? A case study of Google patents

Authors : Enrique Orduña‑Malea, Cristina I. Font‑Julián

This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).

Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: tweets linking to patents, users linking to patents, and patents linked from Twitter.

To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015.

The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation.

The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors.

However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.

URL : Are patents linked on Twitter? A case study of Google patents

DOI : https://doi.org/10.1007/s11192-022-04519-y

Catégories
FR

Le « cas Raoult » ou la controverse médicale amplifiée par l’influence personnelle

Auteur-ices/Authors : Stéphanie Lukasik, Marc Bassoni

La controverse médicale incarnée en France par le Professeur Didier Raoult a constitué un enjeu communicationnel inédit durant la pandémie de Covid-19. Surmédiatisé, le cadre traditionnel des controverses scientifiques a basculé vers l’espace socionumérique des confrontations d’opinions tranchées et des polémiques propices aux fake news et à la « ré-information ».

Dans un premier temps, les auteurs explicitent la stratégie de communication « directe » adoptée par le professeur Raoult. Dans un deuxième temps, à partir de la page Facebook intitulée « Didier Raoult officiel », les auteurs procèdent à une comptabilité des interactions induites, durant trois mois, par les posts opérés sur ladite page.

Enfin, dans un troisième temps, en examinant le partage de contenus opéré par des usagers-récepteurs de cette page, les auteurs mettent en lumière certains éléments d’homophilie au sein des groupes ainsi constitués.

DOI : https://doi.org/10.4000/communication.15107

Catégories
EN

How do scientific papers with different levels of journals spread online? Exploring the temporal dynamics in the diffusion processes

Authors : Renmeng Cao, Xiaoke Xu, Yunxue Cui, Zhizhao Fang, Xianwen Wang

Social media has become an important channel for publicizing academic research, which provides an opportunity for each scientific paper to become a hit.

Employing a dataset of about 10 million tweets of 584,264 scientific papers from 2012 to 2018, this study investigates the differential diffusion of elite and non-elite journal papers (divided by Average journal impact factor percentile).

We find that non-elite journal papers are diffused deeper and farther than elite journal papers, showing a diffusion trend with multiple rounds, sparse, short-duration and small-scale bursts.

In contrast, the bursts of elite journals are characterized by a small number of persistent, dense and large-scale bursts. We also discover that elite journal papers are more inclined to broadcast diffusion while non-elite journal papers prefer viral diffusion.

Elite journal papers are generally disseminated to many loosely connected communities, while non-elite journal papers are diffused to several densely connected communities.

URL : https://arxiv.org/abs/2112.03506

Catégories
EN

Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

Authors : Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Nicolas Robinson-Garcia

Altmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions.

This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media.

This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology.

We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.

URL : Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics

DOI : https://doi.org/10.1007/s11192-021-04167-8