Can people hear others’ crying?: A computational analysis of help-seeking on Weibo during COVID-19 outbreak in China

Social media like Weibo has become an important platform for people to ask for help during COVID-19 pandemic. Using a complete dataset of help-seeking posts on Weibo during the COVID-19 outbreak in China (N = 3,705,188), this study mapped their characteristics and analyzed their relationship with the epidemic development at the aggregate level, and examined the influential factors to determine whether and the extent the help-seeking crying could be heard at the individual level using computational methods for the first time. It finds that the number of help-seeking posts on Weibo has a Granger causality relationship with the number of confirmed COVID-19 cases with a time lag of eight days. This study then proposes a 3C framework to examine the direct influence of content, context, and connection on the responses (measured by retweets and comments) and assistance that help-seekers might receive as well as their indirect effects on assistance through the mediation of both retweets and comments. The differential influences of content (theme and negative sentiment), context (Super topic community, spatial location of posting, and the period of sending time), and connection (the number of followers, whether mentioning others, and verified status of authors and sharers) have been reported and discussed.     

Can I help you的变身

一、在商店:A:Can I help you?你要买点什么?B:I want some apples.二、在餐馆:A:Can I help you?你想吃/喝点什么?B:A bottleof orange,please.三、在图书馆:A:Can I help you?你想借什么?B:I want to borrow a tape.四、在旅店:A:Can I help you?你住店吗?B:I want a singler     

Can the predictive processing model of the mind ameliorate the value-alignment problem?

Ethics and Information Technology - How do we ensure that future generally intelligent AI share our values? This is the value-alignment problem. It is a weighty matter. After all, if AI are neutral...     

Are you too young for the Nobel Prize?

Although age is not supposed to be a criterion for the award of the Nobel Prize, it is commonly believed that it does play a role. Indeed, econometric evidence in this paper also suggests such a role. However, the paper finds that, if there is a preference for older Nobel candidates, this is introduced during the nomination process. The paper actually finds that the Nobel Committee does not favor older nominees and that, if anything, it seems to partially offset the age premium introduced by the nominators.     

Can Friction Disappear?

<正>The 2020 TKK Science Award in Technological Sciences went to CAS Member Prof. LUO Jianbin for his contribution to tribology, particularly in the field of nano-tribology and nanofabrication. Friction is the reason why automobiles can move when we press on the gas, and stop as we hit the brake. However, friction also accounts for, reportedly,     

What are you doing?

故事教学,采用大家都喜欢的故事为教学材料,语言丰富,教学方法多样不仅学生爱学,教师也爱教。     

Battle of the Sexes on E-Mail-Or Is It?

Few studies have attempted to link e-mail use to power and politics. The purpose of this article is to offer some initial evidence and analysis of e-mail's role in organizational power and politics. To frame the discussion, the article reviews the relevant writings on power and politics. The review is concluded with a theoretical critique that suggests that contextual and, particularly, temporal aspects should be incorporated into research on power and politics in organizations. To demonstrate how an analysis based on temporal aspects can be undertaken, a case study that outlines the use of e-mail for power and politics in a university is presented. The discussion and conclusions sections synthesize the analysis by demonstrating that what was interpreted by many organization members at the early stages of the conflict as a ''battle of the sexes'' can be seen (and, indeed, was interpreted by many organization members at the later stages of the conflict) as an elaborate exercise in misinformation created by top management to further its political objectives. The article concludes with a discussion of the implications from this case to e-mail research and practice.     

Can we trust robots?

Can we trust robots? Responding to the literature on trust and e-trust, this paper asks if the question of trust is applicable to robots, discusses different approaches to trust, and analyses some preconditions for trust. In the course of the paper a phenomenological-social approach to trust is articulated, which provides a way of thinking about trust that puts less emphasis on individual choice and control than the contractarian-individualist approach. In addition, the argument is made that while robots are neither human nor mere tools, we have sufficient functional, agency-based, appearance-based, social-relational, and existential criteria left to evaluate trust in robots. It is also argued that such evaluations must be sensitive to cultural differences, which impact on how we interpret the criteria and how we think of trust in robots. Finally, it is suggested that when it comes to shaping conditions under which humans can trust robots, fine-tuning human expectations and robotic appearances is advisable.     

Innovation on demand—Can public procurement drive market success of innovations?

Public procurement has been at the centre of recent discussions on innovation policy. We embed it into the broader framework of public policies to stimulate innovation: regulations, R&D subsidies and basic research at universities. We synthesize the characteristics of all four instruments conceptionally and quantitatively compare their effects on innovation success for 1100 firms in Germany. We find that public procurement and knowledge spillovers from universities propel innovation success equally. The benefits of university knowledge apply uniformly to all firms. However, public procurement is especially effective for smaller firms in regions under economic stress and in distributive or technological services.     

Perspective: Flicking with flow: Can microfluidics revolutionize the cancer research?

According to the World Health Organization, cancer is one of the leading causes of death worldwide. Cancer research, in its all facets, is truly interdisciplinary in nature, cutting across the fields of fundamental and applied sciences, as well as biomedical engineering. In recent years, microfluidics has been applied successfully in cancer research. There remain, however, many elusive features of this disease, where microfluidic systems could throw new lights. In addition, some inherent features of microfluidic systems remain unexploited in cancer research. In this article, we first briefly review the advancement of microfluidics in cancer biology. We then describe the biophysical aspects of cancer and outline how microfluidic system could be useful in developing a deeper understanding on the underlying mechanisms. We next illustrate the effects of the confined environment of microchannel on cellular dynamics and argue that the tissue microconfinement could be a crucial facet in tumor development. Lastly, we attempt to highlight some of the most important problems in cancer biology, to inspire next level of microfluidic applications in cancer research.     

Is the repugnance about betting on terrorist attacks misguided?

Prediction markets designed to predict terrorism through traders’ investments on the likelihood of specific terrorist attacks are, strictly speaking, enabling those traders to bet on terrorism. Betting on terrorist attacks, like some other forms of betting on death, has been accused of being repugnant. In this paper, it is argued that while government-backed effective intelligence-gathering prediction markets on terrorism (PMsoT) might elicit feelings of repugnance, those feelings are likely to be misguided. The feelings of repugnance arise because PMsoT are assumed to be associated with terrorism in encouraging and endorsing ways and with human death in a disrespectful way. However, it is argued that these feelings of repugnance are misguided in the case of government-backed effective intelligence-gathering PMsoT because the purpose and effect of such prediction markets, and (on balance) the trading they encourage, is to prevent and renounce terrorism and show respect for matters of life and death.     

What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion

One of the most time-critical challenges for the Natural Language Processing (NLP) community is to combat the spread of fake news and misinformation. Existing approaches for misinformation detection use neural network models, statistical methods, linguistic traits, fact-checking strategies, etc. However, the menace of fake news seems to grow more vigorous with the advent of humongous and unusually creative language models. Relevant literature reveals that one major characteristic of the virality of fake news is the presence of an element of surprise in the story, which attracts immediate attention and invokes strong emotional stimulus in the reader. In this work, we leverage this idea and propose textual novelty detection and emotion prediction as the two tasks relating to automatic misinformation detection. We re-purpose textual entailment for novelty detection and use the models trained on large-scale datasets of entailment and emotion to classify fake information. Our results correlate with the idea as we achieve state-of-the-art (SOTA) performance (7.92%, 1.54%, 17.31% and 8.13% improvement in terms of accuracy) on four large-scale misinformation datasets. We hope that our current probe will motivate the community to explore further research on misinformation detection along this line. The source code is available at the GitHub.²