Modularity is the Key A New Approach to Social Media Privacy Policies

Author(s):  
Sanchari Das ◽  
Jayati Dev ◽  
Kaushik Srinivasan
Author(s):  
Andrea Conchado Peiró ◽  
José Miguel Carot Sierra ◽  
Elena Vázquez Barrachina ◽  
Enrique Orduña Malea

Cybermetrics field is attracting considerable interest due to its utility as a data-oriented technique for research, though it may provide misleading information when used in complex systems. This paper outlines a new approach to market research analysis through the definition of composite indicators for cybermetrics, applied to the Spanish wine market. Our findings show that the majority of cellars were present in only one or two social media networks: Facebook, Twitter or both. Besides, the presence on the Web can be summarized into three principal components: website quality, presence on Facebook, and presence on Twitter. Three groups of cellars were identified according to their position in these components: cellars with a high number of errors in their website with complete absence of information in social media, cellars with strong presence in social media, and cellars in an intermediate position. Our results constitute an excellent initial step towards the definition of a methodology for building composite indicators in cybermetrics. From a practical approach, these indicators may encourage cellar managers to make better decisions towards their transition to the digital market.


2020 ◽  
Vol 97 (4) ◽  
pp. 868-889
Author(s):  
Paul C. Adams

The shift toward digital distribution has led newspapers to adopt data collection and sharing practices with unexplored ethical consequences. Analysis of the privacy policies of the 15 largest U.S. newspapers reveals what is permitted with regard to the capture of newsreader data and the sharing of such data with advertisers, affiliated companies, and social media. These practices and the related news metrics and analytics are critiqued in light of journalism’s democratic role and traditional support of citizenship. The conclusion offers six recommendations to begin to address these ethical dilemmas through greater transparency and more reader control over data handling.


2020 ◽  
Vol 39 (4) ◽  
pp. 669-686 ◽  
Author(s):  
Liu Liu ◽  
Daria Dzyabura ◽  
Natalie Mizik

A new approach for measuring consumer brand perceptions from consumer-created brand imagery via deep learning.


2020 ◽  
Vol 35 (2) ◽  
pp. 711-721
Author(s):  
Jari-Petteri Tuovinen ◽  
Harri Hohti ◽  
David M. Schultz

Abstract Collecting hail reports to build a climatology is challenging in a sparsely populated country such as Finland. To expand an existing database, a new approach involving daily verification of a radar- and numerical weather prediction–based hail detection algorithm was trialed during late May–August for the 10-yr period, 2008–17. If the algorithm suggested a high likelihood of hail from each identified convective cell in specified locations, then an email survey was sent to people and businesses in these locations. Telephone calls were also used occasionally. Starting from 2010, the experiment was expanded to include trained storm spotters performing the surveys (project called TATSI). All the received hail reports were documented (severe or ≥2 cm, and nonsevere, excluding graupel), giving a more complete depiction of hail occurrence in Finland. In combination with reports from the general public, news, and social media, our hail survey resulted in a 292% increase in recorded severe hail days and a 414% increase in observed severe hail cases compared to a climatological study (1930–2006). More than 2200 email surveys were sent, and responses to these surveys accounted for 53% of Finland’s severe hail cases during 2008–17. Most of the 2200 emails were sent into rural locations with low population density. These additional hail reports allowed problems with the initial radar-based hail detection algorithm to be identified, leading to the introduction of a new hail index in 2009 with improved detection and nowcasting of severe hail. This study shows a way to collect hail reports in a sparsely populated country to mitigate underreporting and population biases.


2021 ◽  
Vol 20 ◽  
pp. 160940692110024
Author(s):  
Gisela Sender ◽  
Flavio Carvalho ◽  
Gustavo Guedes

Happiness at Work is considered the Holy Grail of organizational sciences. The belief that happier workers are more productive leads to a win-win situation for both individuals and organizations. Nevertheless, years of research have not brought a convergent conclusion about the topic, mainly due to the lack of a widely accepted measure. Usually, questionnaires and self-report surveys are used; however, these methods embed shortcomings that allow studies’ results to be questioned. In order to overcome these shortcomings, the present study proposes a different approach to measure Happiness at Work, bringing mixed methods to encompass the complexity of the phenomenon. Based on work-life narratives and following Kahneman’s concepts, the proposed approach puts together Narrative Analysis and Sentiment Analysis. Although increasingly used to assess social media reviews, Sentiment Analysis is not yet applied to narratives related to Happiness at Work. Four methods to calculate the Happy Level indicator were tested on actual research data: one manual, through traditional coding processes, and three automatic methods to provide scalability. An example of the Happy Level application is also provided to illustrate how the indicator could improve analyses. The present study concludes that despite the manual method presents better results at this moment; the automatic ones are promising. The results also indicate paths for improvement of these methods.


Author(s):  
Nancy K. Baym

In Playing to the Crowd, Nancy K. Baym examines the shift toward more personal connections with audiences, offering an entirely new approach to media cultures and industries as she does. The book argues that workers in many fields are under increased pressure get online and connect with others to further their careers, a trend that musicians have long led. Using a dialectical framework, the book draws on in depth-interviews with a range of professional musicians and other qualitative methods to show how the rise of digital communication platforms transformed artist-fan relationships into something that can feel personal. Part I explores music as a means of communication and as a commodity, drawing out the tension between its social and commercial values. Part II looks at audiences, showing how they developed fandoms in the 20th century, how those fandoms came online, and the tension between participation and control musicians experience when they encounter online audiences. Part III looks at relationships, examining how, in contrast to the concert hall environment in which musicians and audiences may one have met, social media create a new potential and pressure for everyday, intimate relating and how musicians manage the tensions between closeness and distance this creates. Ultimately, the book argues that the relational labor musicians do is a significant mode of work, one which requires resources, skills, and strategies we must all understand.


2019 ◽  
Vol 8 (07) ◽  
pp. 24683-24789
Author(s):  
Dr. D. Murali ◽  
Vinutha BA

The precious data from online origin has developed into a extended research. The mass media and news media provides the daily events to the common people. Huge amount of information is been achieved by an online social media suchlike Twitter, which contains more information about news-associated content. It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media. Despite after the noise is eliminated the excessive data still remain in the data so it is essential to prioritize it for utilization. We are introducing three factors for prioritization. The unsupervised technique finds the news topics that are common in the pair of social media and news media, and then ranks them by the applicability factors such as MF, UA and UI. Initially the temporal prevalence of the appropriate topic in news media focus (MF). Secondary the temporal prevalence of the appropriate topic in social media illustrates the user attention (UA). Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing; it is termed as the user interaction (UI).  


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