Denigrate Comment Detection in Low-Resource Hindi Language Using Attention-Based Residual Networks

Cyberspace has been recognized as a conducive environment for use of various hostile, direct, and indirect behavioural tactics to target individuals or groups. Denigration is one of the most frequently used cyberbullying ploys to actively damage, humiliate, and disparage the online reputation of target by sending, posting, or publishing cruel rumours, gossip, and untrue statements. Previous pertinent studies report detecting profane, vulgar, and offensive words primarily in the English language. This research puts forward a model to detect online denigration bullying in low-resource Hindi language using attention residual networks. The proposed model Hindi Denigrate Comment–Attention Residual Network (HDC-ARN) intends to uncover defamatory posts (denigrate comments) written in Hindi language which stake and vilify a person or an entity in public. Data with 942 denigrate comments and 1499 non-denigrate comments is scraped using certain hashtags from two recent trending events in India: Tablighi Jamaat spiked Covid-19 (April 2020, Event 1) and Sushant Singh Rajput Death (June 2020: Event 2). Only text-based features, that is, the actual content of the post, are considered. The pre-trained word embedding for Hindi language from fastText is used. The model has three ResNet blocks with an attention layer that generates a post vector for a single input, which is passed through a sigmoid activation function to get the final output as either denigrate (positive class) or non-denigrate (negative class). An F-1 score of 0.642 is achieved on the dataset.

Digital Transformation and the Evolution of the Platform Economy

This chapter provides an overview of the evolution of the platform economy through the lens of digital transformation and transit from Industry 3.0 (I3.0) to Industry 4.0 (I4.0). The platform economy belongs to both I3.0 and I4.0 and goes through two cycles of digital transformation within them. In I3.0, the starting point of the platform economy is the digitization of social and commercial interactions over user-generated content. The resulting issues of trust and regulation of user interactions find solutions in new business models based on online reputation systems and algorithmic regulation. The specificity of I4.0 is the tendency to platform products, homes, factories, and cities through broad digitization of interactions between humans and things, and things and things. For the platform economy, the new cycle of digital transformation in the context of I4.0 means creating business models based on the ultimate customization of both the production and consumption of product-as-platforms and the rental of digital product models.

The Importance of Online Reputation Management in Four- and Five-Star Hotes

In recent years, online reputation management has become increasingly crucial in the hotel industry, as online reviews have become one of the most critical factors in choosing accommodation. Consequently, hotels have adapted themselves to this new reality and define strategies focused on online reputation management, whose primary goal is to monitor and correct unwanted situations verified on the internet. Regarding its importance, several investigations about online reputation management have been made, but mostly about their impact on consumer satisfaction and decision-making. This investigation shows that hotels in Lisbon adopt adequate strategies in both four and five-star hotels, and their classification (star rating) did not influence the strategies chosen by them. Additionally, hotels with the same classification have similar strategies, in contrast to some investigations in the literature. Finally, the method of data collection chosen for the current investigation was the online survey, since it allows the collection of a significant volume of data in a short period.

Offline Reputation Matters: Physicians’ Online Reputation Bias in Online Health Communities (Preprint)

BACKGROUND Online health communities (OHCs) have gradually become an important service platform for patients to communicate with physicians and obtain treatment and related medical information. With the rise of OHCs, an increasing number of scholars have begun to study the incentive mechanism of a physician’s online contribution behavior. However, previous studies have ignored the limited effect of online reputation on a physician’s online contribution and the moderating effect of offline reputation. OBJECTIVE We hypothesized that online reputation shows an inverted U-shaped relation with a physician’s contribution and that offline reputation reduces the inverted U-shaped relation, thus weakening the positive impact of reputation on performance and strengthening the negative impact of reputation performance. METHODS Based on incentive theory and prior studies, we proposed three hypotheses. We collected the panel data of 6,648 physicians from Good Physician, one of the largest OHCs in China. An empirical model was built to test our hypotheses. Additionally, the variables representing online reputation were replaced and the data set was split for the robustness check. RESULTS First, our results support the hypothesis of an inverted U-shaped relationship between a physician’s online reputation and their online contribution behavior(β=-0.127, t=13.624, P<.001). Second, we identify the bipolar impact of online and offline reputation on a physician’s online contribution. Specifically, over a period of time, online reputation will promote the contribution of physicians(slope=1.514, P<.001), while offline reputation will inhibit the contribution. Third, our research shows that offline reputation can weaken the impact of online reputation on a physician’s online contribution. CONCLUSIONS We amended the bias of the positive linear correlation between online reputations and online contributions in OHCs. Moreover, by identifying the moderating effect of offline reputation, we ameliorated the interpreting mechanism of online reputation on a physician’s online contribution. The findings improve our understanding of physicians' online contribution behaviors and contribute to the literature on OHCs. Our research can provide guidance for an OHC to design effective personalized incentive mechanisms and encourage physicians to provide more high-quality services.

Online Reputation Management in Canadian Hospitals

This paper aims to evaluate how Canadian hospitals manage Facebook, Twitter, Youtube and their own corporate websites to promote their brand and reinforce their strategic positioning. We carried out a literature review about corporate communication, branding and health organizations; and then, we defined 48 key performance indicators to analyze how the best 85 Canadian hospitals managed Facebook, Twitter, Youtube and their corporate website for promoting their brands. We concluded that most Canadian hospitals used their corporate website for disseminating journalistic information; Facebook and Twitter, for interacting with patients; and Youtube, for publishing videos about health education.

ONLINE REPUTATION OF LIBRARY IN TERMS OF COVID-19 PANDEMIC

Purpose of the Article. Represent innovative tools and approaches in the interaction of libraries with readers during lockdowns, which, in turn, has a positive effect on their reputation. Methodology. The application of such general scientific methods as analysis and synthesis, generalization and abstraction, description and comparison made it possible to identify relevant tools for the interaction of libraries with readers during lockdowns. The main approaches to scientific knowledge to achieve this goal were descriptive, systematic and modeling. The scientific novelty of the work is that based on the empirical method of observation, five years of practical experience of the author in the implementation of online marketing of the profile organization, with the help of professional materials, official blogs and, in fact, directly library resources. users even during the lockdown. Conclusions. Building a reputation and increasing the prestige of the library in the online environment and modern conditions in which humanity is - is a process that can increase the competitiveness of the library, the prestige of the library profession, and attract additional audience attention. Libraries also need to improve and modernize their image, join the current trends and popular and fashionable online resources and services, thus guaranteeing their users a decent quality of services and ensuring constant support of relations with them. Current trends in attracting audiences to libraries are changing along with technology (Zoom, Google tools, social networks, messengers), media formats (podcasts) and more. Keywords: library reputation, online library reputation, digitalization of libraries into a pandemic.