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The purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform.

This study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively.

The findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing.

This study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.

This research investigates how consumers who are most active on Facebook during the day vs in the evening differ, differ in their ad consumption, and how advertising effects vary as a function of a key moderator: gender.

Using a survey of 281 people, the research identifies Facebook users who are more intensely using mobile social media during the day versus in the evening, and measures five Facebook mobile advertising outcomes: brand and product recall, clicking on ads, acting on ads and purchases.

The results show that women who are using social media more intensely during the day are more likely to use Facebook to seek information, hence, Facebook mobile ads tend to be more effective for these users compared to those in the evening.

This contributes to the literature by analyzing how the time of day affects social media behavior in relation to mobile advertising effectiveness, and broadening the scope of mobile advertising effectiveness research from other than just clicks on ads to include measures like brand and product recall.

By analyzing the effectiveness of mobile advertising on social media as a function of the time of day, advertisers can be more targeted in their media buys, and so better use their social media budgets, i.e. advertising is more effective for women who use social media (Facebook) more intensely during the day than for those who use social media more intensely in the evening as the former tend to seek more information than the latter.

This research extends media ecology theory by drawing on circadian rhythm research to provide a first demonstration of how the time of day relates to different uses of mobile social media, which in turn relate to social media mobile advertising consumption.

While research on social media advertising has been steadily increasing, little has been explored on how users consume ads when they engage with social media at different periods along the day. This paper extends media ecology theory by investigating time of day, drawing on the circadian rhythm literature, and how it relates to social media usage.

This paper aims to analyze what Samarco and Brazilian magazines speak and say about Mariana’s environmental crime. Discover their doxa in this subject. Interpret the speakings, sayings and doxas through the theories of the treadmills of production, crime and law.

It is a qualitative and documental research and a narrative analysis. Regarding the documents: 45 were from public authorities, 14 from Samarco Mineração S.A. and 73 from Brazilian magazines. Theoretically, the authors resorted to Bourdieusian sociology (speaking, saying and doxa) and the treadmills of production, crime and law theories.

Samarco: speaking – mission statements; saying – detailed information and economic and financial concerns; doxa – assistance discourse. Brazilian magazines: speaking – external agents; saying – agreements; doxa – attribution, aggravations, historical facts, impacts and protests.

The absence of discussions that addressed this fatality, with its respective consequences, from an agenda that exposed and denounced how it exacerbated race, class and gender inequalities.

Regarding Mariana’s environmental crime: Samarco Mineração S.A. speaks and says through the treadmill of production theory and supports its doxa through the treadmill of crime theory, and Brazilian magazines speak and say through the treadmill of law theory and support their doxa through the treadmill of crime theory.

To provoke reflections on the relationship between the mining companies and the communities where they settle to develop their productive activities.

Concerning environmental crime in perspective, submit it to a theoretical interpretation based on sociological references, approach it in a debate linked to environmental criminology, and describe it through narratives exposed by the guilty company and by Brazilian magazines with high circulation.

The appropriation of artificial intelligence (AI) into everyday workplace practices is becoming pervasive. Some of the industries that have seen the improved appropriation of AI include the automotive industry, food chains and other retail businesses. The media industry in developed countries has also been appropriating AI into newsrooms ecologies. This development has left news media workers, especially in developing countries, questioning the viability of their jobs in the foreseeable future as machines take over and disrupt newsmaking and production processes. The unknowns that come with AI adoption have been met with both utopian and dystopian views in African newsrooms, especially in countries that understand less on how to deploy AI affordances. Premised on the technology acceptance model and the concept of technological appropriation and a qualitative methodology that used structured interviews with community media journalists from the Western Cape province of South Africa, this chapter examined journalists' perceptions of AI deployment in the community media space. The findings of the study show that community media journalists hold both utopian and dystopian views on the utility of AI in the community media space. While most journalists perceive AI as enhancing the efficiency and accuracy of the newsmaking process, there is a significant number of journalists who perceive AI as inimical to the legitimacy and credibility of the profession. Furthermore, AI is also seen as a threat to jobs within the journalism profession. These findings resonate with previous studies that have shown that journalists are divided on the perceived utility of AI in newsrooms.

Focusing on the sociological clarification based on structural pluralism, this study explores the degree to which social media users who comment on the news posts of local newspapers use uncivil remarks and words that reflect their moral foundations.

This computer-assisted data collection produces three types of datasets that include numerous social media comments. To explore the association between moral foundations and incivility, both quadratic association procedure (QAP) and multiple regression QAP (MRQAP) are implemented.

The findings suggest that social media users who comment on the news posts of urban-located newspapers tend to use more uncivil words compared to social media users who comment on the news posts of suburban and rural-based newspapers. Individuals who comment on the news posts of urban-based newspapers tend to show a wider range of moral foundation spectrums than those who comment on the posts of rural and suburban newspapers. Lastly, there are significant associations between moral-vice components and incivility in response to urban- and suburban-located newspapers' social media posts.

The employed bag-of-words may not completely capture incivility given that social media users can use nuanced and metaphoric terms instead of explicitly uncivil terms. Even though this study systematically selected local newspapers' social media accounts, the contextual factors of other newspapers in politically slanted communities could be different.

The findings of this study provide meaningful and practical implications for journalists and news reporters. The inherent rudeness and aggressiveness of social media users can drive them to use uncivil and moral-harm words against a particular person or group.

Under the circumstance that fake news and politically slanted news content are widely distributed in the United States, social media users may easily express negative emotions toward news stories or the journalists who post the stories.

Structural pluralism particularly specializes in explaining why and how the contextual factors of news stories differ depending on community complexity. Building on the reasoning of structural pluralism in the social media context, this study investigates the degree to which social media users who comment on the news posts of local newspapers employ uncivil remarks and moral foundation words.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2020-0522.

The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.

Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.

The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.

Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.

The influx of mainland capital to different media sectors in Hong Kong has been commonly seen throughout the last decade (Leung, 2019). While the changes in ownership have been shaping the ecology of Hong Kong’s media industry, the rapid development of digital technology such as the internet and social media has also been important in the industry’s transformation. This study aims to investigate how and to what extent technology has shaped the Hong Kong media work culture.

Alibaba, the powerful e-commerce conglomerate, has sought to advance its development in the media industry and leverage its technological expertise by acquiring the century-old Hong Kong English-language newspaper, the South China Morning Post (SCMP) in 2016. This essay, by using the SCMP as a case study, focuses on the workers and their use of technologies in their daily work practices, which offers an alternative lens to investigate the influence of a Chinese tech ownership in transforming a Hong Kong media outlet’s culture.

This case study illustrates how the implementation of Alibaba work culture at the SCMP through technological application remained minimal over the four years following this Chinese tech giant’s acquisition, whereas a Silicon Valley-style start-up culture and techno-organisational gaze were profoundly found at this workplace and received both acceptance and resistance by the employees.

This study results in a revealing unique type of techno-organisational culture change that deviates from the previous Chinese organisational studies within and outside the Chinese contexts.

This study examines a controversial issue (biotechnology) and how news disputes about misinformation related to the issue impacts individuals' attitudes toward a biotechnology company and their trust in the media source.

This study conducts a 2 (risk: low vs. high) x 2 (pre-existing attitude: anti gene-editing technology vs. pro gene-editing technology) x 2 (dispute message: absent vs. present) x 2 (media source: Buzzfeed vs NYT) factorial online experiment using a Qualtrics panel (N = 1,080) to examine the impact on individuals' attitudes toward a biotechnology company and trust in the media source.

Results indicate that dispute messages enhance attitudes toward the company but decrease trust in media sources. Interaction effects between pre-existing attitude and the dispute message, along with perceived risk and the dispute message, illustrate stark differences in how individuals with favorable vs. unfavorable pre-existing attitudes assessed the company after viewing the dispute message.

This study applies arguments from extant literature about prebunking and debunking misinformation. Specifically, this study investigates how dispute messages, a form of debunking through source derogation, actually impact individuals' perceptions of media credibility and/or their attitudes about the content they are reading. The study findings also reveal new insights regarding the interaction between pre-existing attitudes and perceived risk, as well as how dispute messages interact with each of the aforementioned factors.