Text emotion analysis in aquaculture communication via Twitter: the case of Spain

Public acceptance arises as one of the main defiance in aquaculture. This situation is especially relevant in regions of the global north such as Europe or North America, where social acceptability is conditioning the expansion of this industry production capacity and the development of markets for aquaculture products. Understanding not only consumer perceptions, but also other collectives? insights is the first step to build sectoral strategies that focus and communicate benefits and combat myths, leading to greater social acceptability. Information disseminated through social networks represents a great opportunity to analyze large amounts of information disclosed by involved stakeholders. Unlike most studies focused on consumer perception, this study conducts a sentiment analysis of the communication released on Twitter by different stakeholders related to aquaculture in Spain: producers, specialized media, associations and research centers. The analysis is carried out using the TwitteR package of the R software, which provides direct communication through an Application Programming Interface (API), and its nrc lexicon. Results show significant differences among stakeholders' profiles, showing that trust, negative and positive words are prevalent in the tweets of all stakeholders. This study shows an underutilization of the potential of the social network, and a more effective communication by specialized media profiles. The use that these profiles give to social networks is an example that shows producers and policy makers the benefits that can be derived from a professionalized communication of aquaculture through social networks, not only to consumers but also to society as a whole

Brand sabotage: Managing social media and reputational crises in utility companies

In 2011, the market leader in the Portuguese energy sector decided to delete its presence on Facebook, its most active social media platform, after a poorly perceived social media management decision went viral and unleashed a series of accusatory comments that harmed the company’s brand and reputation. Today, in 2018, this company is still opting not to be fully present on its social media platforms, revealing that the effects of the 2011 crisis were both long-lasting and harmful for the company’s image with its main stakeholders. In this thesis, we develop a set of best practices in social media management that can help prevent social media crises in the Portuguese energy sector and, simultaneously, provide energy companies with the tools to improve their brand awareness, image, and reputation through social media platforms in the current digital and globalized economy. We start by characterizing the main challenges faced by utility companies on their daily social media activities. Related to this, we identify the potential channels that can lead these companies into social media crises, and we study the best actions undertaken by the market leaders in the Spanish and UK energy markets against these reputation threats. To do so, we undertake a quantitative netnography analysis on these markets, using state-of-the-art data scrapping and text analytics techniques. Finally, we use the main results from the netnography analysis to clearly define the most important social media strategies followed by the Spanish and UK energy market leaders. We highlight the managerial implications of our analysis by developing a unifying social media strategy to help Portuguese energy companies prevent new social media crises and to allow them to effectively manage their brand awareness and reputation by using social media platforms. We conclude with the implementation of this strategy using a best practices framework that Portuguese energy companies could follow in the near future.No ano de 2011, a empresa líder no mercado de energia em Portugal, colocou um fim à sua presença ativa nas redes sociais, após a tomada de uma decisão estratégica que levou à massificação de críticas de clientes e seguidores. Atualmente, a empresa continua cautelosa em estar nas redes sociais, mantendo apenas uma presença limitada no YouTube e, mais recentemente, através de uma página de Instagram específica para divulgação de eventos patrocinados ou desenvolvidos pela mesma. Esta estratégia de comunicação online da EDP, revela que os eventos vividos em 2011 foram duradouros e prejudiciais para a reputação e imagem da mesma junto dos seus stakeholders. Nesta dissertação, é desenvolvido um conjunto de práticas para uma melhor gestão de redes sociais, com foco especial no Facebook. Esta análise tem como objetivo ajudar as empresas de Energia Portuguesas a prevenir crises virais relacionadas com a sua política de comunicação nestas plataformas e, por conseguinte, melhorar a brand awareness e reputação destas empresas no contexto de uma economia digital e globalizada. Para tal, caracterizamos os principais desafios de diferentes estratégias de comunicação, envolvendo redes sociais por parte de empresas internacionais no setor da Energia. Consequentemente, são então identificados os potenciais canais e ações destas empresas que poderão deteriorar a relação da empresa com os seus stakeholders e levar, eventualmente, a uma situação de crise. Para fazer face a tal possibilidade, são estudados exemplos de empresas líderes no setor de energia no Reino Unido e em Espanha, através de uma netnografia quantitativa, utilizando técnicas de data scrapping e text analytics. Através desta análise, são realçadas as principais melhores práticas que poderão ajudar empresas Portuguesas a prevenir eventuais crises de comunicação online nas suas páginas e plataformas sociais. O objetivo último desta dissertação é permitir a estas empresas gerir eficazmente a sua brand awareness e reputação e, simultaneamente, fomentar de forma eficiente e transparente a sua relação com os seus stakeholders

Unveiling What is Written in The Stars: Analyzing Explicit, Implicit, and Discourse Patterns of Sentiment in Social Media

Deciphering consumers' sentiment expressions from big data (e.g., online reviews) has become a managerial priority to monitor product and service evaluations. However, sentiment analysis, the process of automatically distilling sentiment from text, provides little insight regarding the language granularities beyond the use of positive and negative words. Drawing on speech act theory, this study provides a fine-grained analysis of the implicit and explicit language used by consumers to express sentiment in text. An empirical text-mining study using more than 45,000 consumer reviews demonstrates the differential impacts of activation levels (e.g., tentative language), implicit sentiment expressions (e.g., commissive language), and discourse patterns (e.g., incoherence) on overall consumer sentiment (i.e., star ratings). In two follow-up studies, we demonstrate that these speech act features also influence the readers' behavior and are generalizable to other social media contexts, such as Twitter and Facebook. We contribute to research on consumer sentiment analysis by offering a more nuanced understanding of consumer sentiments and their implications

Sentiment analysis in retail: the case of Parfois facebook page

The way that consumers are interacting with brands is changing, and in Retail it is no different. With the growth of internet usage and with all the social networks that we interact with, social media is gaining more and more relevance and importance. This research extracted 1.845 posts, 8.256 comments and more than 500.000 reactions from Parfois Facebook page. The comments were translated to English due to having comments made in several different languages, modelled and finally made the sentiment analysis. This analysis was made concerning the post dates, the reasons of the post and the products associated in the post. It was used decision tree algorithms to predict sentiments, so it can be predicted the sentiment when making a new post. With the Sentiment Analysis from Social Media, Parfois can gain understanding about their own brand, from the marketing department through to the buying or even design departments. Using Social Media analysis together with Business Intelligence, can help Parfois decision makers gain competitive advantage regarding their competitors or even improve their products.A maneira como os consumidores interagem com as marcas está a mudar, e no retalho não é diferente. Com o aumento do uso da internet e com todas as redes sociais que interagimos, as redes sociais ganham mais relevância e importância. Esta pesquisa extraiu 1.845 posts, 8.256 comentários e mais de 500.000 reações da página de Facebook da Parfois. Os comentários foram traduzidos para o inglês devido ao fato de haver comentários feitos em várias línguas diferentes, modelados e finalmente feita a análise de sentimentos. Esta análise foi feita em relação às datas das publicações, os motivos do post, os produtos associados ao post. Foram utilizados algoritmos de árvores de decisão para prever sentimentos para que se possa prever o sentimento ao fazer um novo post. Com a analise de sentimentos das redes sociais, a Parfois pode entender melhor a sua própria marca, desde o departamento de marketing até ao departamento de compras ou mesmo o departamento de design. Usar a análise de sentimentos das redes sociais junto com o Business Intelligence organizacional, pode ajudar os decisores da Parfois a ganhar vantagem competitiva em relação aos concorrentes ou mesmo a melhorar seus produtos

Social media analytics: a survey of techniques, tools and platforms

This paper is written for (social science) researchers seeking to analyze the wealth of social media now available. It presents a comprehensive review of software tools for social networking media, wikis, really simple syndication feeds, blogs, newsgroups, chat and news feeds. For completeness, it also includes introductions to social media scraping, storage, data cleaning and sentiment analysis. Although principally a review, the paper also provides a methodology and a critique of social media tools. Analyzing social media, in particular Twitter feeds for sentiment analysis, has become a major research and business activity due to the availability of web-based application programming interfaces (APIs) provided by Twitter, Facebook and News services. This has led to an ‘explosion’ of data services, software tools for scraping and analysis and social media analytics platforms. It is also a research area undergoing rapid change and evolution due to commercial pressures and the potential for using social media data for computational (social science) research. Using a simple taxonomy, this paper provides a review of leading software tools and how to use them to scrape, cleanse and analyze the spectrum of social media. In addition, it discussed the requirement of an experimental computational environment for social media research and presents as an illustration the system architecture of a social media (analytics) platform built by University College London. The principal contribution of this paper is to provide an overview (including code fragments) for scientists seeking to utilize social media scraping and analytics either in their research or business. The data retrieval techniques that are presented in this paper are valid at the time of writing this paper (June 2014), but they are subject to change since social media data scraping APIs are rapidly changing

Mining Public Opinion about Hybrid Working With RoBERTa

As the businesses recover from the COVID-19 epidemic, a new working paradigm is emerging: the hybrid work arrangement. A hybrid work method is a working approach that enables workers to work from several places, such as at home, on the move, or in the workplace. People are expressing their opinions on different social media outlets about the new work model. Organizations and businesses value public views. Because public perspectives will allow decision-makers to adapt promptly to rapidly transforming cultural, commercial, and social environments. Opinion mining is traditionally used to summarize the quantity of positive and negative responses in a given text using sentiment analysis techniques. Opinionated material from social media sites is used to identify people's enthusiasm or displeasure with a certain issue under debate. This study analyzes the public sentiments (positive, negative, and neutral) on a hybrid work model using Twitter API and the Robustly Optimized BERT Pre-training Approach (RoBERTa).   Out of 1 thousand tweets containing the term “hybrid work”, 37 (4.2%), 305 (33.3%), and 658 (62.5%) tweets were classified as negative, neutral, and positive, respectively.  We also compared the public sentiments about hybrid work with those of remote work. The RoBERTa classified 8(1.6%), 436 (85.9 %), and 62 (12.5%) tweets as negative, neutral, and positive, respectively.  The results showed that The majority of individuals showed favorable sentiment toward the hybrid work arrangement. The findings also demonstrate that “hybrid work” has an affinity with “remote work”, “ai”, “digital transformation” and “future of work”

4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 4th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges. Due to the covid pandemic, CARMA 2022 is planned as a virtual and face-to-face conference, simultaneouslyDoménech I De Soria, J.; Vicente Cuervo, MR. (2022). 4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2022.2022.1595

Extending the Boundaries of Supply Chain Transparency: Supplier Monitoring Activity Disclosure, Consumer Evaluations, and Brand Equity

Socially responsible policy makers and consumers are pressuring firms to make their supply chains more transparent by disclosing information about their supplier monitoring activities (SMA). Yet, high monitoring costs and the complexity of supply chains pose challenges for firms to effectively monitor their extended supply chain, including both first-tier and lower-tier suppliers. In order to comprehensively evaluate the net benefit from SMA, it is therefore critical to consider potential effects on drivers of additional revenues that may accrue from the disclosure of SMA to consumers. Prior research on SMA has examined the associated cost, risk, and supplier relational implications on the focal firm. I examine the effect of supply chain transparency by means of a firm’s SMA disclosure on consumer evaluations through a series of experiments and sentiment analysis of social media data. Further, I study the effect of SMA disclosures on a firm’s brand equity via content analysis of corporate social responsibility (CSR) reports. Specifically, I investigate the effects of (1) mere disclosure of SMA, (2) the breadth of SMA, the depth of SMA, and the specific mechanism used to monitor lower-tier suppliers, and (3) the interactions between issue involvement, SMA disclosure, and SMA characteristics on consumer evaluations. The results reveal that (1) the disclosure of SMA information improves individual-level consumer evaluations, consumer sentiment, and organizational-level brand equity; (2) SMA characteristics including breadth, depth, and monitoring mechanism each have effects on consumer evaluations; and (3) consumers’ CSR involvement plays an important role in strengthening the relationship between firms’ SMA disclosures and evaluations. This work makes several important contributions to several literature streams including the CSR literature, the supply chain transparency literature, and the sustainable supplier management literature. This research also provides motivation and guidance for practitioners that engage in or are considering SMA by highlighting SMA disclosure as a means for firms to boost consumer evaluations. Further, for firms that strive to achieve supply chain transparency through SMA disclosures, results show that not only is it critical to understand what to disclose, but also to whom to disclose