Enhancing Emergency Communication With Social Media

2018 ◽  
Vol 10 (3) ◽  
pp. 20-41 ◽  
Author(s):  
Rob Grace ◽  
Jess Kropczynski ◽  
Scott Pezanowski ◽  
Shane Halse ◽  
Prasanna Umar ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Small Proportion ◽  
Community Organizations ◽  
Geographic Area ◽  
Information Infrastructure ◽  
Emergency Communications ◽  
Community Information ◽  
Filter Bubbles ◽  
Official Information

Local social media users share and access critical information before, during, and after emergencies. However, existing methods can identify local social media users only after an emergency has occurred, and only then discover a small proportion of users sharing information in a geographic area. To address these limitations, we introduce the method of Social Triangulation to identify local social media users who access community information before an emergency in order to develop emergency communications strategies that contribute to community resilience. Social Triangulation identifies local users vis-à-vis the community organizations they curate within their social networks and, as a result, helps reveal the information infrastructure of a community. Consequently, social triangulation can inform emergency communications planning by identifying “filter bubbles” among social media users loosely embedded in an information infrastructure, as well as community influencers who are well-positioned to redistribute official information during an emergency.

scholarly journals Endogenetic structure of filter bubble in social networks

2019 ◽  
Vol 6 (11) ◽  
pp. 190868
Author(s):  
Yong Min ◽  
Tingjun Jiang ◽  
Cheng Jin ◽  
Qu Li ◽  
Xiaogang Jin
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Privacy Protection ◽  
Experimental Approach ◽  
Intermediate Structure ◽  
Specific Topic ◽  
Artificial Intelligence Technology ◽  
Full Discussion ◽  
Filter Bubble ◽  
Filter Bubbles

The filter bubble is an intermediate structure to provoke polarization and echo chambers in social networks, and it has become one of today's most urgent issues for social media. Previous studies usually equated filter bubbles with community structures and emphasized this exogenous isolation effect, but there is a lack of full discussion of the internal organization of filter bubbles. Here, we design an experiment for analysing filter bubbles taking advantage of social bots. We deployed 128 bots to Weibo (the largest microblogging network in China), and each bot consumed a specific topic (entertainment or sci-tech) and ran for at least two months. In total, we recorded about 1.3 million messages exposed to these bots and their social networks. By analysing the text received by the bots and motifs in their social networks, we found that a filter bubble is not only a dense community of users with the same preferences but also presents an endogenetic unidirectional star-like structure. The structure could spontaneously exclude non-preferred information and cause polarization. Moreover, our work proved that the felicitous use of artificial intelligence technology could provide a useful experimental approach that combines privacy protection and controllability in studying social media.

A managerial perspective on omnichannel e-customer

2020 ◽  
pp. 5-17
Author(s):  
Maria Teresa Cuomo ◽  
Francesca Ceruti ◽  
Alice Mazzucchelli ◽  
Alex Giordano ◽  
Debora Tortora
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Empirical Analysis ◽  
Customer Experience ◽  
Tourism Industry ◽  
Point Of View ◽  
Social Commerce ◽  
Social Dimensions ◽  
Offline Channels ◽  
Managerial Perspective

The actual omnichannel customer uses indifferently both online and offline channels to express himself through consumption, which increasingly blends personal, cultural and social dimensions. In this perspective social media and social networks are able to assist e-retailers in their effort of creating a total e-customer experience, especially in the tourism industry, trying to satisfy their clients from the relational and commercial point of view. By means of an empirical analysis where managers were interviewed on the topic and its degree of application in the firms, the paper underlines how from the managerial point of view, that represents a new prospect on the topic, the expected shift from e-commerce to social commerce paradigm, facilitating the selling and buying of products and services by using various internet features, is nowadays not completely understood and realized.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

“I’m not a kid anymore!” Towards a teen-centric approach of online privacy management

MedienJournal ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 41-54
Author(s):  
Isabell Koinig
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Present Article ◽  
Information Disclosure ◽  
Online Privacy ◽  
Privacy Management ◽  
Theoretical Contribution ◽  
Social Media Networks ◽  
Individual Privacy ◽  
Willingness To Disclose

The youth constitutes the largest user base of social media networks. While this generation has grown up in a digitally immersed environment, they are still not immune to the dangers the online space bears. Hence, maintaining their privacy is paramount. The present article presents a theoretical contribution, that is based on a review of relevant articles. It sets out to investigate the importance adolescents attribute to online privacy, which is likely to influence their willingness to disclose data. In line with a “new privacy paradox”, information disclosure is seen as unavoidable, given the centrality of social networks to adolescents’ lives. This goes hand in hand with individual privacy management. As individuals often lack knowledge as to how to protect their privacy, it is essential to educate the youth about their possibilities, equipping them with agency and self-responsibilization. This corresponds with a teen-centric approach to privacy as proposed by the TOSS framework.

“I’m not a kid anymore!” Towards a teen-centric approach of online privacy management

MedienJournal ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 41-54
Author(s):  
Isabell Koinig
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Present Article ◽  
Information Disclosure ◽  
Online Privacy ◽  
Privacy Management ◽  
Theoretical Contribution ◽  
Social Media Networks ◽  
Individual Privacy ◽  
Willingness To Disclose

The youth constitutes the largest user base of social media networks. While this generation has grown up in a digitally immersed environment, they are still not immune to the dangers the online space bears. Hence, maintaining their privacy is paramount. The present article presents a theoretical contribution, that is based on a review of relevant articles. It sets out to investigate the importance adolescents attribute to online privacy, which is likely to influence their willingness to disclose data. In line with a “new privacy paradox”, information disclosure is seen as unavoidable, given the centrality of social networks to adolescents’ lives. This goes hand in hand with individual privacy management. As individuals often lack knowledge as to how to protect their privacy, it is essential to educate the youth about their possibilities, equipping them with agency and self-responsibilization. This corresponds with a teen-centric approach to privacy as proposed by the TOSS framework.

The features of transnational corporations’ advertisement in social networks

2019 ◽  
pp. 89-92
Author(s):  
Daniella Mushka ◽  
Yeva Erfan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Wide Spectrum ◽  
Subsequent Development ◽  
Transnational Corporations ◽  
Target Audience ◽  
Social Media Marketing ◽  
Scientific Article ◽  
The Social ◽  
The Given

This scientific article considers all aspects, modern importance and growing role of the social media marketing and advertisement in the general spectrum of marketing activity for developed and developing brands. Investigational actuality and basic directions of application of all spectrum of instruments of social networks for the sake of advancement of product and the processes of forming perception of trade mark and forming the image of brand are analyzed by the authors of the article. The given scientific article highlights the most popular trends and patterns of goods and trademarks’ promotion in the world in the context of updating the concept of advertising on social networks. The bigger and more engaged your target audience is on social media networks (Instagram, Facebook, Twitter, YouTube etc), the easier it will be for you to achieve every other marketing or business goal. The importance of social media marketing’s assistance in attracting new potential clients and customers to the company is also considered in the given article. Besides that, the authors of the article list and analyse wide spectrum of basic trends considering promotion and advertising in 2019 among the well-known brands. In addition to this all, the list of the most successful publicity advertisement campaigns of this year and brands which were promoted with their assistance are listed and analysed. In the context of the study, it shows up that advertising campaigns play a significant role not only in reaching sales but also in generating overall customer loyalty to the brand. This makes it possible to argue that the most reputable brands should have an important social goal that will be positively accepted by society and target audience in addition to the high quality and usability of the products or services. Social networking is the easiest way to see the social response to your promotion and lead to an instant purchase. Therefore, relying on the experience of the already well-known multinational and transnational corporations, social media marketing should take a significant share of the overall promotion of the company. The connection between the brand and potential customer should be built on the emotions that accompany consumers when viewing ads and using products. This scientific article eventually declares conclusions and prognoses in relation to subsequent development of these instruments and platforms for advancement and branding of small and large enterprises in future. It states that emotional connection between person and brand is much more effective for the company than an expensive ad.

Epilogue

2018 ◽  
Author(s):  
Robert E. Goodin ◽  
Kai Spiekermann
Keyword(s):  
Social Media ◽  
European Union ◽  
Majority Rule ◽  
The European Union ◽  
Donald Trump ◽  
Epistemic Democracy ◽  
The Core ◽  
Echo Chambers ◽  
Filter Bubbles

This chapter reflects on the election of Donald Trump and the vote of the British electorate in favour of ‘Brexit’ from the European Union. While we refrain from judging the outcomes of these votes, we do discuss concerns pertaining to the lack of truthfulness in both campaigns. After rehearsing the lies on which the Trump and Brexit campaigns were based, we consider different explanations as to why these campaigns were nevertheless successful, and where this leaves the argument for epistemic democracy. Particularly worrisome are tendencies towards ‘epistemic insouciance’, ‘epistemic malevolence’, and ‘epistemic agnosticism’. We also consider the problematic influence of social media in terms of echo chambers and filter bubbles. The core argument in favour of epistemic democracy is that the pooling of votes by majority rule has epistemically beneficial properties, assuming certain conditions. If these assumptions are not met, or are systematically corrupted, then epistemic democracy is under threat.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

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