Winners of CAS 2009 Award for Int＇l Cooperation in Science and Technology

CAS announced the winners of its 2009 Award for International Cooperation in Science and Technology on January 27, 2010 at the closing ceremony of its annual conference. Prof. Dr. Gerhard Boerner, senior researcher with the Max-Planck Institute for Astrophysics of Germany, Prof. Peter H. Raven, President of the Missouri Botanical Garden of USA, and Prof. Roger-Maurice Bonnet, President of COSPAR and Executive Director of the International Space Science Institute （ISSI） were honored for their outstanding contributions.     

From ivory towers to online bazaars? The internet,social media and competing discourses in the newspaper industry

In line with the development of new media, newspaper companies are facing drastic changes in their competitive environment. Managing change requires both new capabilities and new ways of thinking. Organizational learning could be seen in terms of increasing shared organizational knowledge through changing social practices, which in turn consist of discourses. In this article we investigate the Internet and social-media-related discourse among newspaper journalists, in order to enhance understanding of how social reality is constituted and made sense of in this environment. We identify four types of discourse: Ivory-tower-creating and Shielding, which seem to impede learning, and Accelerating and Connecting, which encourage adaptation to learning and change within newspaper companies.     

Promoting users’ intention to share online health articles on social media: The role of confirmation bias

Nowadays, it is a common practice for healthcare professionals to spread medical knowledge by posting health articles on social media. However, promoting users’ intention to share such articles is challenging because the extent of sharing intention varies in their eHealth literacy (high or low) and the content valence of the article that they are exposed to (positive or negative). This study investigates boundary conditions under which eHealth literacy and content valence help to increase users’ intention to share by introducing a moderating role of confirmation bias—a tendency to prefer information that conforms to their initial beliefs. A 2 (eHealth literacy: high vs. low) × 2 (content valence: positive vs. negative) between-subjects experiment was conducted in a sample of 80 participants. Levels of confirmation bias ranging from extreme negative bias to extreme positive bias among the participants were assessed during the experiment. Results suggested that: (1) users with a high level of eHealth literacy were more likely to share positive health articles when they had extreme confirmation bias; (2) users with a high level of eHealth literacy were more likely to share negative health articles when they had moderate confirmation bias or no confirmation bias; (3) users with a low level of eHealth literacy were more likely to share health articles regardless of positive or negative content valence when they had moderate positive confirmation bias. This study sheds new light on the role of confirmation bias in users’ health information sharing. Also, it offers implications for health information providers who want to increase the visibility of their online health articles: they need to consider readers’ eHealth literacy and confirmation bias when deciding the content valence of the articles.     

Challenging the “deficit model” of innovation: Framing policy issues under the innovation imperative

As innovation is increasingly becoming an imperative for policymakers around the globe, there is a growing tendency to frame policy problems as problems of innovation. This logic suggests that we are unable to address grand societal challenges and ensure economic competitiveness because our societies, institutions, scientific activities or individual predispositions are not sufficiently geared towards innovation. In this paper, we analyze this “deficit model” of innovation in which a lack of innovation is routinely invoked as the main obstacle to social progress. Drawing parallels to research on the deficit model of public understanding of science (PUS), we develop a theoretical framework that captures the dynamics and normative implications of deficit construction, highlighting five salient dimensions: problem diagnoses, proposed remedies, the role of expertise, implied social orders, and measures of success. We apply this framework to three empirical case studies of recent innovation strategies in Luxembourg, Singapore, and Denmark. Attention to this deficit framing around innovation is important, we argue, because it is an essential part of how innovation transforms societies in the 21st century: not only through new technological possibilities or economic growth, but also by shaping public discourse, narrowing policy options, and legitimizing major institutional interventions. The implied pro-innovation bias tends to marginalize other rationales, values, and social functions that do not explicitly support innovation. It further delegates decisions about sweeping social reconfigurations to innovation experts, which raises questions of accountability and democratic governance. Experiences from the history of PUS suggest that, without a dedicated effort to transform innovation policy into a more democratic, inclusive, and explicitly political field, the present deficit logic and its technocratic overtones risks significant social and political conflict.     

Diverse needs and cooperative deeds: Comprehending users’ identities in online health communities

In recent years, the number of online health communities (OHCs) has increased rapidly as more patients seek to access alternate sources of health information and connect with other patients who have similar health concerns. However, insufficient attention has been paid to investigating user identities in OHCs. To address this potential research gap, by elaborating on the communication theory of identity, this study presents a multi-layered framework to analyze the different layers of user identities that are portrayed in OHCs. Through coding analysis, we discovered that the personal-layer identities that appear in OHCs are patients, partners, offspring, parents, friends and relatives, and others. Moreover, a series of detection models for the personal-layer identities of users were developed, which incorporated content features into machine learning approaches, and they achieved F1-scores above 0.88. Furthermore, we analyzed the features of enactment-layer identities presented by users’ posting behavior and content and the impact of the personal-layer identities of users on the features of the enactment-layer identities. The findings suggested that the features of the enactment-layer identities differed significantly among users with diverse personal-layer identities in terms of both behaviors and communication needs. Users who were identified as patients served as both information seekers and providers, whereas users with the personal-layer identities of parents tended to engage in the community continuously. Our findings extend the understanding of user identities within the context of OHCs.     

Accountability and the Framing Power of Visual Technologies: How Do Visualized Reconstructions of Incidents Influence Public and Political Accountability Discussions?

In this article visual technologies and their use in three reconstructions after an incident are linked with accountability issues. Conclusions are drawn on the relation between administration, the choice of technology to create and distribute visual occurrences, and society and how visualizations are used to frame accountability issues.     

Popular evolutionary psychology in the UK: an unusual case of science in the media?

This paper presents findings from quantitative analyses of UK press and print media coverage of evolutionary psychology during the 1990s. It argues that evolutionary psychology presents an interesting case for studies of science in the media in several different ways. First, press coverage of evolutionary psychology was found to be closely linked with the publications of popular books on the subject. Secondly, when compared to coverage of other subjects, a higher proportion of academics and authors wrote about evolutionary psychology in the press, contributing to the development of a scientific controversy in the public domain. Finally, it was found that evolutionary psychology coverage appeared in different areas of the daily press, and was rarely written about by specialist science journalists. The possible reason for these features are then explored, including the boom in popular science publishing during the 1990s, evolutionary psychology's status as a new subject of study and discussion, and the nature of the subject its as theoretically based and with a human, "everyday" subject matter.     

Bimbo or boffin? Women in science: an analysis of media representations and how female scientists negotiate cultural contradictions

This paper examines the gendered representations of scientists in the UK media. Our analysis reveals the asymmetrical ways in which men and women working in science, engineering and technology are portrayed, in particular through the emphasis on women's appearance and a focus on their exceptional status. It also highlights the way female scientists may be used to "sex up" the discipline in the context of increasing concern about the (un)popularity of science. This media analysis is contextualized by drawing on data from 86 scientists examining how women themselves experience press and television coverage and address the cultural contradictions surrounding their role. The research highlights the challenges facing women working in these fields and the dilemmas for those seeking to develop a "human" face for science and promote a positive image for women.     

“Ghost” Trademarks in China:Comments on and analysis of preemptive trademark registration in China and the related issues

Over the years,tens and thousands of"ghost"trade- marks have been hovering over this land,These"ghost"trademarks are used to"gain fame or win popularity by fraud".Obvious or implicit bad faith also goes with them when they are applied for registration or used.The most reg- istered"ghost"trademarks are not put to actual use.The owners of these trademarks await opportunities to assign     

Data aggregators,consumer data,and responsibility online: Who is tracking consumers online and should they stop?

The goal of this article is to examine the strategic choices of firms collecting consumer data online and to identify the roles and obligations of the actors within the current network of online tracking. In doing so, the focus shifts from placing the onus on individuals to make an informed choice, to justifying the roles and responsibilities of firms when gathering, aggregating, and using consumers' interests or behavior online. Firms online are uniquely positioned to undercut or to respect privacy expectations within three possible roles: as a member of a supply chain of information traders, within a network of surveillance online, and as an arm of law enforcement. These firms benefit from aggregating and analyzing consumer data and have an associated responsibility to not only minimize the harm to consumers but also to enact change where the firm is in the most knowledgeable and powerful position.     

What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy

With the proliferation of online content service industry, understanding the factors affecting consumer intention to purchase online content services has become an important issue for academics and practitioners. While previous research has suggested that consumers’ perceived value and moral judgment are two main factors influencing behavioral intention to purchase online content services, few studies have explored what drives perceived value and if customers’ ethical self-efficacy will moderate the effect of perceived value on purchase intention. Thus, based on the value-based adoption model and previous literature, this study explores the antecedents of perceived value and the moderating effect of ethical self-efficacy for online piracy (ESEOP) on the relationship between perceived value and purchase intention in the context of online content services. Data collected from 124 respondents in Taiwan are tested against the research model using the partial least squares (PLS) approach. The results indicate that perceived enjoyment, perceived usefulness, perceived fee, and ESEOP have a significant influence on perceived value and that ESEOP can enhance the positive effect of perceived value on purchase intention. The findings of this study provide several important theoretical and practical implications for consumer online content purchase behaviors.     

The influence of information depth and information breadth on brokers’ idea newness in online maker communities

Social networks provide individuals with diverse or redundant information depending on the network structure. Both types of information offer advantages for generating new ideas. At the same time, network structure and network content are independent. As a result, two individuals with the same network position can access diverse or redundant content from their social peers. In this study, we investigate the function of social networks in innovative endeavors given individuals’ different kinds of information accessing behavior. In accordance with previous research, we argue that individuals with a broker status access more diverse information through non-redundant network structures and develop, on average, more novel ideas. We further propose that redundancy in content complements brokers’ structural non-redundancy by providing familiar knowledge elements and therefore interpretability, while non-redundancy in both content and structure leads to information overload. Thus, we hypothesize that brokers accessing more information depth, and independently, less information breadth generate newer ideas. To test our hypotheses, we collected data from a popular online maker community containing 18,146 ideas, 19,919 profiles, and 52,663 comments. We used topic modeling (Latent Dirichlet Allocation) to extract hidden knowledge elements and social network analysis to identify brokers. In line with our hypotheses, we find that information depth (breadth) strengthens (weakens) a favorable broker position. These findings have implications for the literature on idea generation in social networks and household sector innovation.     

Two modes of participation: A conceptual analysis of 102 cases of Internet and social media participation from 2005–2015

In this article we analyze 102 case studies of Internet or social media-enabled participatory projects, technologies, platforms and companies in operation between roughly 2005–2015. We assign each case a “signature” representing the degree of presence/absence of seven dimensions of participation and then cluster these signatures to look for patterns of the most common ways of “doing participation” today. Two main clusters become apparent: 1) a “radical-direct” mode that emphasizes direct individual autonomy and influence, commitment to having a voice and setting goals, and individual or collective control over resources thereby produced; and 2) an “experiential-affective” mode that emphasizes the experience of being or becoming part of a collective, and the affective, communicational, and educational features of that experience.     

Effects of members’ response styles in an online depression community based on text mining and empirical analysis

The online depression community (ODC) has become a popular resource for people with depression to manage their mental health during the COVID-19 pandemic. This study proposed a novel perspective based on response style theory to investigate whether depression individuals’ distractive and ruminative behaviors in ODC were related to social support received and co-rumination. Furthermore, we explored the influences of social support and co-rumination on suicidal behaviors using panel data set. We collected text data from 22,286 depressed users of a large ODC in China from March 2020 to July 2021, and conducted text mining and econometrics analyses to test our research questions. The results showed that depression users’ online ruminative behaviors had a positive relationship with the co-rumination and had a negative relationship with social support received. Besides, constructive distractive behaviors (i.e., providing social support to others) increased the support users received from others but had a negative relationship with co-rumination. Depression users' future suicidal behaviors are influenced by past received social support and co-rumination. The received social supports and co-rumination have a negative and positive influence on depression users' future suicidal behaviors, respectively. Our results enrich the application of response style theory in online medicine. They provide meaningful insights into behaviors that influence the acquisition of online social support and the incidence of online co-rumination in ODCs. This study helps relevant institutions to conduct more targeted online suicide interventions for depression patients.     

Understanding and Application of “Being Already in Use” Mentioned in Article 31 of the Trademark Law

According to Article 31 of the Trademark Law as re- vised in 2001,In trademark application,one should not pre- emptively register a mark that is already in use by another party and has certain influence;it is also provided in Article 41,paragraph two that where a registered trademark stands in violation of the preceding provision,the owner of the mark     

Differential influences of perceived organizational factors on younger employees’ participation in offline and online intergenerational knowledge transfer

Intergenerational supportive climate, top management support, organizational institution are seen as three types of important organizational factors for intergenerational knowledge transfer (IGKT), however, current studies are qualitative with little empirical evidence, further, the interrelations of them are little known. This paper investigates and verifies their relationships by an empirical study, especially focuses on their differential effects on younger employees’ participation in IGKT using offline versus online communication methods drawing upon social influence theory. A survey with younger doctors was conducted in the medical industry to test the research model proposed in this study. Results show that younger employees’ perceived intergenerational supportive climate (PISC) has a significant positive influence on offline IGKT, but not on online IGKT; perceived top management support (PTMS) has a significant positive influence on offline IGKT, but has a negative impact on online IGKT; perceived organizational institution support (POIS) has a significant positive influence on online IGKT, but not on offline IGKT. These findings contribute to a more comprehensive understanding about IGKT, as well as help managers be more effective to enhance younger employees’ participation in IGKT through offline/online methods, which contribute to offline and online intergenerational knowledge transfer to knowledge management.