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As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises. The crowd decision-making of the intellectual community plays an important role in the active participation of many individuals and schools in giving their wisdom, effectively solve the problems of negative internet communication, single publicity media and unprofessional promotion team in WeChat public account.

This paper aims to optimize the content and improve the effectiveness of network ideological and political education in universities. This study analyzes five highly popular WeChat public accounts at the Central University of Finance and Economics in 2019. It obtains the popularity index of tweets using the WeChat communication index algorithm and finds that the important factors that influence tweet popularity are release time and content value.

To improve the public account tweets, this study highlights the connection between the tweets’ value and students’ emotional needs, which enhances the value of tweet content in students’ life and provides more original and distinctive content.

This study found that the content and interest of college students are tweet time, tweet value and tweet content. Therefore, the public account of college ideological and political education should be improved from the following three aspects: realizing the connection between the value of tweet content and students’ emotional needs; enhancing the value of tweet content in students’ life and learning; and insisting on the original and distinctive original intention of tweet content.

This study aims to analyze a backchannel account on news of the coronavirus at the beginning of the pandemic, with information not disseminated in official media due to the social alarm it might cause and the negative image of government management. Specifically, it examines acceptance and dissemination of this type of content in a period of lack of information, while reflecting on what would constitute proper management of this type of channel.

First, based on a literature review, this study classifies possible explanatory variables of online content dissemination into content richness and psychological content. Second, this study performs sentiment analysis of the Twitter backchannel account @COVID_19NEWS and use Qualitative Comparative Analysis to find causal configurations of variables that obtained a high rate of retweets.

The results reveal predominance of one combination of three factors in backchannel information diffusion: emotional, identifying and video content. Other interesting combinations of factors were shown to be attractive enough to contribute to success of the tweets.

Knowledge of the main configurations that attract information dissemination in backchannel accounts is useful for public management of a health crisis such as the Covid-19 outbreak. Rather than suppressing these channels, the authors discuss different solutions.

This study advances scholarship on backchannel communications in emergency situations, providing insights to understand and manage such channels.

Este estudio analiza una cuenta extraoficial sobre noticias del coronavirus al inicio de la pandemia, con información no difundida en los medios oficiales por su posible repercusión en la alarma social y la imagen negativa de la gestión gubernamental. Concretamente examina la aceptación y difusión de este contenido en un periodo de desinformación, así como reflexiona sobre la gestión de este tipo de canales.

En primer lugar, en base a la revisión de la literatura, clasificamos las variables explicativas según la riqueza de contenido y el contenido psicológico. En segundo lugar, sobre la cuenta extraoficial de @COVID_19NEWS en Twitter, realizamos análisis de sentimiento y utilizamos Análisis Comparativo Cualitativo (QCA) para encontrar configuraciones causales de variables que obtuvieron una alta tasa de retweets.

Los resultados revelan la importancia de una combinación de tres factores en la difusión de información del canal secundario: contenido emocional, identificativo y video. Otras combinaciones de factores también contribuyeron al éxito del tweet.

Estas configuraciones podrían ser útiles para la gestión pública ante una crisis sanitaria como la Covid-19, prestando atención a los factores cuya configuración atrae la difusión de información en las RRSS. En lugar de suprimir estos canales, se presentan soluciones para garantizar una colaboración eficaz.

Este estudio realiza una contribución académica a las comunicaciones extraoficiales en situaciones de emergencia, proporcionando información para comprender y gestionar este tipo de canales.

Covid-19, Coronavirus, Canal extraoficial, Twitter, Análisis cualitativo comparado

Trabajo de investigación

在新冠疫情初期, 由于可能引起社会恐慌和政府管理部门的负面形象, 官方媒体缺少相关的新闻报道。本文研究了在这种官方信息匮乏的危机时期, 非正式渠道（backchannel）对于新冠病毒内容的接受和传播情况, 本文同时反思了如何对这类非正式渠道进行正确的管理。

基于文献综述, 我们先将在线内容传播的可能解释变量分为内容丰富度和心理内容这两个方面。其次, 我们对推特上的非正式渠道账户@COVID_19NEWS发布的内容进行情感分析, 并使用定性比较分析法来寻找内容获得高转发率的原因。

结果显示, 对于非正式渠道信息的成功传播, 情绪化、具有辩认度和包含视频内容这三个要素的组合占主导地位。此外, 其他要素的组合也有来助于推文的成功传播和扩散。

了解非正式渠道吸引信息传播的主要原因, 将有利于应对健康危机（例如Covid-19爆发）和进行公共管理。文本讨论了不同的解决方案, 而不是简单地压制这些非正式渠道。

这项研究推进了危机背景下非正式渠道传播的学术研究, 为理解和管理这类非正式渠道提供了见解。

关键词 - Covid-19, 新冠病毒, 非正式渠道, 推特, 定性比较分析

Natural disasters are increasingly more frequent and intense, which makes it critical for emergency managers to engage social media users during crises. This study examined emergency official accounts' social media engagement at each disaster stage based on Fink's four-stage model of crisis and disaster: prodromal, acute, chronic and termination stages and linked topics and sentiments to engagement.

Using text mining and sentiment analysis, 1,226 original tweets posted by 66 major emergency official Twitter accounts and more than 15,000 retweets elicited across the life cycle of Hurricane Irma were analyzed.

Results identified the most engaging official accounts and tweets. Most tweets and the most engaging tweets were posted in the prodromal stage. Tweets related to certain topics were significantly more engaging than others. The most frequently tweeted topics by official accounts were less engaging than some seldom tweeted topics. Negative sentiment words increased the engagingness of the tweet. Sadness was the strongest predictor of tweet engagement. Tweets that contained fewer sadness words were more engaging. Fear was stronger in positively predicting tweet engagement than anger. Results also demonstrated that words for fear and anger were critical in engaging social media discussions in the prodromal stage. Words for sadness made the tweets less engaging in the chronic stage.

This study provided detailed instructions on how to increase the engagingness of emergency management official accounts during disasters using computational methods. Findings have practical implications for both emergency managers and crisis researchers.

The purpose of this paper is to examine the practice of celebrity athletes’ product endorsement in the context of social media, guided by meaning transfer model.

The study adopted a content analysis method based on data gathered from the official Twitter account of 17 of the highest-paid athletes over a period of five months.

Results outline the state, involvement level, roles, modes, preferred content types, discernible differences, shared features, and best practices employed in endorsement tweets. A framework of athletes’ product endorsement on Twitter is presented.

The study presented theoretical and practical implications, and limitations and impetus for future research.

The study investigated professional athletes’ use of their own media channel for the purpose of endorsement, presented a framework that illustrates the practice of celebrity athletes’ product endorsement on social media, and identified a best practice and an exemplary reference.

The use of Twitter by political parties and politicians has been well studied in developed countries. However, there is a lack of empirical work, which has examined the use of Twitter in developing countries. This study aims to explore the information-sharing patterns of Pakistani politicians through Twitter accounts during the pre-election campaign of 2018.

Data of three weeks of the official party accounts and the politicians running for prime minister were analysed. The mixed-methods approach has been used to analyse quantitative and qualitative data retrieved through Twitonomy.

It was found that the most active Twitter account belonged to the winning party. The prominent Twitter account functions were a call to vote, promotional Tweets, promises and Tweeting about party developments. The present study provides evidence that there is a difference between the Tweeting behaviour of established and emerging parties. The emerging party heavily posted about changing traditional norms/culture/practices.

The study contributed to existing knowledge and has practical implications for politicians, citizens and social media planners.

The present study was designed carefully and based on empirical research. The study is unique in its nature to fill the research and knowledge gap by adding a variety of Twitter functions used by politicians.

Social media usage is becoming ubiquitous across the world and communicators, either corporate, independent or activist are increasingly adopting the new medium. This chapter focuses on the uses of social media for marketing communications, in particular for public relations and corporate social responsibility (CSR) by Pfizer’s European offices. In doing so it evaluates the relationship between public relations and CSR as well as reviews some of the uses of social media for healthcare communications and CSR.

Using a deductive approach and a methodology that combines qualitative content analysis aimed at identifying communication themes and social media audits on brand integration and communication coherence, this chapter aims to identify how Pfizer’s European offices use social media to communicate online.

To establish the corporate line and branding general guidelines for Pfizer, we have recorded from the company’s official website (www.pfizer.com) its corporate overview and corporate responsibility information, embedded into the ‘About us’ section of the website. From the home page, social media links were then sought. To ensure all links were recorded the researchers used two gateways, one using the social media links on the website and one through each country’s website and their social media links on their home page. The Pfizer official accounts were excluded from this analysis, the interest being on the country uses of social media and not Pfizer’s official general channels.

General traffic and engagement data automatically reported by each social media platforms such as number of tweets, followers, fans, and number of views were recorded manually. For more insight into Twitter activity FollerMe was then used to capture and record each account’s most recent activity as it enabled the discovery of each account’s creation date and the most frequently used words and hashtags in its tweets. It also helped assess the levels of performance of each country on Twitter by looking at the reported ratios of replies, mentions, tweets with links, hashtags or media to the last 100 tweets sent from the each account. For Facebook and YouTube data, only the publicly reported data was recorded. The text in the Twitter bios and about sections was also recorded and compared with the company’s corporate and CSR descriptions included on the main website.

Out of the 20 countries that do have a Pfizer country office, only 10 of them have a social media presence. Turkey and Spain have four social media channels each and Belgium has three. All the other countries are present on only one social media platform. They show an overall integration and coordination of messages with themes mirrored from one platform to another. The channels also show an overall compliance and consistency with the brand, most of them displaying bespoke backgrounds, bios and links to the country website.

When it comes to social media integration, the accounts are poorly integrated and interlinked. Moreover, although social media provides a platform for dialogue, two out of the three platforms analysed have very little user interaction. This high concern for message control can be indicative of a variety of elements: a lack of certainty/security in handling social media, a risk-averse attitude towards social media, a lack of training of staff about how to handle social media or perhaps a lack of resources.

The platforms used have all different functions and address different target audiences. YouTube proves to excel as a public information/CSR medium for the general public, the most popular content fitting into those categories. Twitter is a corporate communications environment by excellence, a true mouth-piece of the organization. Finally, Facebook is Pfizer’s user engagement environment but within Pfizer’s own comfort and rules, the presence of a policy document making the boundaries of communication very clear.

Although looking only at one company and its social media communication practices and although it uses only publicly reported data, this chapter raises a variety of questions about the use of social media by big, multinational corporations, the resources they allocate and the amount to which they perceive these channels as anything more than just another company mouth-piece. It also raises questions about how companies choose to portray themselves on social media in comparison to joining conversations, commenting on current trends and celebrating their partners and employees. Perhaps future research could explore these aspects in more depth.

Pfizer who declares itself the ‘world’s largest research-based pharmaceutical company’ is currently among the most influential companies in the world, occupying currently the 148th position in the Global Fortune 500 list. Due to its position within the industry, Pfizer has been the subject of previous research materials including marketing and health communications; however, no study yet has analysed Pfizer’s uses of social media. By analysing the social media communications of Pfizer in Europe and by pointing to the inconsistencies between country accounts, this chapter raises further questions about social media strategy and its implementation by corporations.

The purpose of this study is to examine how factual information and misinformation are being shared on Twitter by identifying types of social media users who initiate the information diffusion process.

This study used a mixed methodology approach to analyze tweets with COVID-19-related hashtags. First, a social network analysis was conducted to identify social media users who initiate the information diffusion process, followed by a quantitative content analysis of tweets by users with more than 5K retweets to identify what COVID-19 claims, factual information, misinformation and disinformation was shared on Twitter.

Results found very little misinformation and disinformation distributed widely. While health experts and journalists shared factual COVID-19-related information, they were not receiving optimum engagement. Tweets by citizens focusing on personal experience or opinions received more retweets and likes compared to any other sender type. Similarly, celebrities received more replies than any other sender type.

This study helps medical experts and government agencies understand the type of COVID-19 content and communication being shared on social media for population health purposes.

This study offers insight into how social media users engage with COVID-19-related information on Twitter and offers a typology of categories of information shared about the pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2021-0143/.

Despite an increasing trend in adoption of social media by for-profit organizations and their chief executive officers (CEOs), there is little understanding of how these new channels of communication are incorporated into the broader communication domain of a firm to discharge accountability during a crisis, when accountability is of critical importance. More importantly, research on how people perceive a crisis and voice their opinions to firms and CEOs on social media in reaction to that crisis is rather limited. Therefore, in this study the authors investigate these questions.

This study is based on a case. The authors focus on the biggest data breach in Internet history in a pioneer technology firm, the Yahoo data breach. The authors conduct descriptive and dramaturgical analyses informed by Goffman to investigate how Yahoo manages its several front stages (communication channels), including social media during and after the Yahoo data breach announcements, and how people respond to the Yahoo's front stage management.

The results show that, during this crisis, Yahoo engages in management of its front stages by first limiting them to a few, then by redrawing the line between its back and front stages, and finally by expanding its front stages to include two-way communication channels, including social media. An ongoing accountability process back stage guides Yahoo's management of its front stages and undermines Yahoo's accountability in front stages. However, social media audiences challenge Yahoo's control of its front stages by using various frames to make sense of the crisis, and to demand accountability.

This study furthers the understanding of how social media platforms are positioned in a firm's broader communication channels during a crisis. It also enhances understanding of accountability demand, especially during critical times in a digitized era.

The main aim of this paper is to build an approach to analyze the tourist content posted on social media. The approach incorporates information extraction, cleaning, data processing, descriptive and content analysis and can be used on different social media platforms such as Instagram, Facebook, etc. This work proposes an approach to social media analytics in traveler-generated content (TGC), and the authors use Twitter to apply this study and examine data about the city and the province of Granada.

In order to identify what people are talking and posting on social media about places, events, restaurants, hotels, etc. the authors propose the following approach for data collection, cleaning and data analysis. The authors first identify the main keywords for the place of study. A descriptive analysis is subsequently performed, and this includes post metrics with geo-tagged analysis and user metrics, retweets and likes, comments, videos, photos and followers. The text is then cleaned. Finally, content analysis is conducted, and this includes word frequency calculation, sentiment and emotion detection and word clouds. Topic modeling was also performed with latent Dirichlet association (LDA).

The authors used the framework to collect 262,859 tweets about Granada. The most important hashtags are #Alhambra and #SierraNevada, and the most prolific user is @AlhambraCultura. The approach uses a seasonal context, and the posted tweets are divided into two periods (spring–summer and autumn–winter). Word frequency was calculated and again Granada, Alhambra are the most frequent words in both periods in English and Spanish. The topic models show the subjects that are mentioned in both languages, and although there are certain small differences in terms of language and season, the Alhambra, Sierra Nevada and gastronomy stand out as the most important topics.

Extremely difficult to identify sarcasm, posts may be ambiguous, users may use both Spanish and English words in their tweets and tweets may contain spelling mistakes, colloquialisms or even abbreviations. Multilingualism represents also an important limitation since it is not clear how tweets written in different languages should be processed. The size of the data set is also an important factor since the greater the amount of data, the better the results. One of the largest limitations is the small number of geo-tagged tweets as geo-tagging would provide information about the place where the tweet was posted and opinions of it.

This study proposes an interesting way to analyze social media data, bridging tourism and social media literature in the data analysis context and contributes to discover patterns and features of the tourism destination through social media. The approach used provides the prospective traveler with an overview of the most popular places and the major posters for a particular tourist destination. From a business perspective, it informs managers of the most influential users, and the information obtained can be extremely useful for managing their tourism products in that region.