Готові списки джерел за темами / Twitter corpora

Добірка наукової літератури з теми "Twitter corpora"

Автор: Grafiati
Опубліковано: 22 червня 2024

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Twitter corpora".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій

Статті в журналах з теми "Twitter corpora":

1

Aditya Prakash. "Twitter Sentimental Analysis." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 18, 2020): 355–59. http://dx.doi.org/10.46501/ijmtst061266.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Twitter sentiment analysis (TSA) provides the methods to survey public emotions about the products or events associated with them. Categorization of opinions through tweets involves a great scope of study and may yield interesting results and insights on public opinion and social behavior towards different events, services, product, geopolitical issues, situations and scenarios that concern mankind at large. These attributes are expressed explicitly through emoticons, exclamation, sentiment words and so on. In this paper, we introduce a word embedding (Word2Vec) technique obtained by unsupervised learning built on large twitter corpora, this process uses co-occurrence statistical characteristics between words in tweets and hidden contextual semantic interrelation
2

Danielewicz-Betz, A., H. Kaneda, M. Mozgovoy, and M. Purgina. "Creating English and Japanese Twitter Corpora for Emotion Analysis." International Journal of Knowledge Engineering-IACSIT 1, no. 2 (2015): 120–24. http://dx.doi.org/10.7763/ijke.2015.v1.20.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Hu, Yuheng, Kartik Talamadupula, and Subbarao Kambhampati. "Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 1 (August 3, 2021): 244–53. http://dx.doi.org/10.1609/icwsm.v7i1.14443.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Twitter has become the de facto information sharing and communication platform. Given the factors that influence language on Twitter - size limitation as well as communication and content-sharing mechanisms - there is a continuing debate about the position of Twitter's language in the spectrum of language on various established mediums. These include SMS and chat on the one hand (size limitations) and email (communication), blogs and newspapers (content sharing) on the other. To provide a way of determining this, we propose a computational framework that offers insights into the linguistic style of all these mediums. Our framework consists of two parts. The first part builds upon a set of linguistic features to quantify the language of a given medium. The second part introduces a flexible factorization framework, soclin, which conducts a psycholinguistic analysis of a given medium with the help of an external cognitive and affective knowledge base. Applying this analytical framework to various corpora from several major mediums, we gather statistics in order to compare the linguistics of Twitter with these other mediums via a quantitative comparative study. We present several key insights: (1) Twitter's language is surprisingly more conservative, and less informal than SMS and online chat; (2) Twitter users appear to be developing linguistically unique styles; (3) Twitter's usage of temporal references is similar to SMS and chat; and (4) Twitter has less variation of affect than other more formal mediums. The language of Twitter can thus be seen as a projection of a more formal register into a size-restricted space.
4

Sifianou, Maria. "Conceptualizing politeness in Greek: Evidence from Twitter corpora." Journal of Pragmatics 86 (September 2015): 25–30. http://dx.doi.org/10.1016/j.pragma.2015.05.019.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Ling, Wang, Luís Marujo, Chris Dyer, Alan W. Black, and Isabel Trancoso. "Mining Parallel Corpora from Sina Weibo and Twitter." Computational Linguistics 42, no. 2 (June 2016): 307–43. http://dx.doi.org/10.1162/coli_a_00249.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Microblogs such as Twitter, Facebook, and Sina Weibo (China's equivalent of Twitter) are a remarkable linguistic resource. In contrast to content from edited genres such as newswire, microblogs contain discussions of virtually every topic by numerous individuals in different languages and dialects and in different styles. In this work, we show that some microblog users post “self-translated” messages targeting audiences who speak different languages, either by writing the same message in multiple languages or by retweeting translations of their original posts in a second language. We introduce a method for finding and extracting this naturally occurring parallel data. Identifying the parallel content requires solving an alignment problem, and we give an optimally efficient dynamic programming algorithm for this. Using our method, we extract nearly 3M Chinese–English parallel segments from Sina Weibo using a targeted crawl of Weibo users who post in multiple languages. Additionally, from a random sample of Twitter, we obtain substantial amounts of parallel data in multiple language pairs. Evaluation is performed by assessing the accuracy of our extraction approach relative to a manual annotation as well as in terms of utility as training data for a Chinese–English machine translation system. Relative to traditional parallel data resources, the automatically extracted parallel data yield substantial translation quality improvements in translating microblog text and modest improvements in translating edited news content.
6

Liu, Xuan, Guohui Zhou, Minghui Kong, Zhengtong Yin, Xiaolu Li, Lirong Yin, and Wenfeng Zheng. "Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method." Systems 11, no. 8 (August 1, 2023): 390. http://dx.doi.org/10.3390/systems11080390.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Facing fast-increasing electronic documents in the Digital Media Age, the need to extract textual features of online texts for better communication is growing. Sentiment classification might be the key method to catch emotions of online communication, and developing corpora with annotation of emotions is the first step to achieving sentiment classification. However, the labour-intensive and costly manual annotation has resulted in the lack of corpora for emotional words. Furthermore, single-label semantic corpora could hardly meet the requirement of modern analysis of complicated user’s emotions, but tagging emotional words with multiple labels is even more difficult than usual. Improvement of the methods of automatic emotion tagging with multiple emotion labels to construct new semantic corpora is urgently needed. Taking Twitter short texts as the case, this study proposes a new semi-automatic method to annotate Internet short texts with multiple labels and form a multi-labelled corpus for further algorithm training. Each sentence is tagged with both the emotional tendency and polarity, and each tweet, which generally contains several sentences, is tagged with the first two major emotional tendencies. The semi-automatic multi-labelled annotation is achieved through the process of selecting the base corpus and emotional tags, data preprocessing, automatic annotation through word matching and weight calculation, and manual correction in case of multiple emotional tendencies are found. The experiments on the Sentiment140 published Twitter corpus demonstrate the effectiveness of the proposed approach and show consistency between the results of semi-automatic annotation and manual annotation. By applying this method, this study summarises the annotation specification and constructs a multi-labelled emotion corpus with 6500 tweets for further algorithm training.
7

Bokányi, Eszter, Dániel Kondor, and Gábor Vattay. "Scaling in words on Twitter." Royal Society Open Science 6, no. 10 (October 2019): 190027. http://dx.doi.org/10.1098/rsos.190027.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Scaling properties of language are a useful tool for understanding generative processes in texts. We investigate the scaling relations in citywise Twitter corpora coming from the metropolitan and micropolitan statistical areas of the United States. We observe a slightly superlinear urban scaling with the city population for the total volume of the tweets and words created in a city. We then find that a certain core vocabulary follows the scaling relationship of that of the bulk text, but most words are sensitive to city size, exhibiting a super- or a sublinear urban scaling. For both regimes, we can offer a plausible explanation based on the meaning of the words. We also show that the parameters for Zipf’s Law and Heaps' Law differ on Twitter from that of other texts, and that the exponent of Zipf’s Law changes with city size.
8

Yadav, Madan Lal, Anurag Dugar, and Kuldeep Baishya. "Decoding Customer Opinion for Products or Brands Using Social Media Analytics." International Journal of Intelligent Information Technologies 18, no. 2 (April 2022): 1–20. http://dx.doi.org/10.4018/ijiit.296271.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
This study uses aspect level sentiment analysis using lexicon-based approach to analyse online reviews of an Indian brand called Patanjali, which sells many FMCG products under its name. These reviews have been collected from the microblogging site twitter from where a total of 4961 tweets about ten Patanjali branded products have been extracted and analysed. Along with the aspect level sentiment analysis, an opinion tagged corpora has also been developed. Machine learning approaches - Support Vector Machine (SVM), Decision Tree, and Naïve Bayes have also been used to perform the sentiment analysis and to figure out the appropriate classifiers suitable for such product reviews analysis. Authors first identify customer preferences and / or opinions about a product or brand by analyisng online customer reviews as they express them on social media platform, twitter by using aspect level sentiment analysis. Authors also address the limitations of scarcity of opinion tagged data, required to train supervised classifiers to perform sentiment analysis by developing tagged corpora.
9

González Fernández, Adela. "Big data y corpus lingüísticos para el estudio de la densidad léxica." SKOPOS. Revista Internacional de Traducción e Interpretación. e-ISSN: 2695-8465. ISSN: 2255-3703 9 (July 15, 2019): 107–22. http://dx.doi.org/10.21071/skopos.v9i0.12144.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
La unión entre la Informática y de la Lingüística es cada vez más frecuente en las investigaciones en el campo del lenguaje y de las lenguas. La Lingüística de corpus, en especial, se está viendo beneficiada por este emparejamiento, gracias a los avances a la hora de gestionar y procesar los corpora. En este trabajo damos un paso más y proponemos el trabajo en Lingüística de corpus a través de big data, en general, y de Twitter, en particular. Gracias a la creación de una herramienta informática diseñada específicamente para el trabajo lingüístico en big data, obtendremos una inmensa cantidad de información textual que nos servirá para la compilación de corpora mediante los que estudiaremos la diversidad léxica en el lenguaje de cuatro escritores españoles. Para ello, extraeremos los tuits publicados por ellos en sus cuentas de Twitter y los procesaremos a través de nuestra herramienta para obtener la información deseada. Intentaremos demostrar, también, la mejora que esta nueva metodología supone en este tipo de estudios.
10

Abdalla, Mohamed, Magnus Sahlgren, and Graeme Hirst. "Enriching Word Embeddings with a Regressor Instead of Labeled Corpora." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6188–95. http://dx.doi.org/10.1609/aaai.v33i01.33016188.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
We propose a novel method for enriching word-embeddings without the need of a labeled corpus. Instead, we show that relying on a regressor – trained with a small lexicon to predict pseudo-labels – significantly improves performance over current techniques that rely on human-derived sentence-level labels for an entire corpora. Our approach enables enrichment for corpora that have no labels (such as Wikipedia). Exploring the utility of this general approach in both sentiment and non-sentiment-focused tasks, we show how enriching embeddings, for both Twitter and Wikipedia-based embeddings, provide notable improvements in performance for: binary sentiment classification, SemEval Tasks, embedding analogy task, and, document classification. Importantly, our approach is notably better and more generalizable than other state-of-the-art approaches for enriching both labeled and unlabeled corpora.
Більше джерел
Також вас можуть зацікавити розширені добірки на тему "Twitter corpora" для конкретних типів джерел:
Статті в журналах Дисертації

Дисертації з теми "Twitter corpora":

1

Lavender, Andrew Jordan. "Code Switching, Lexical Borrowing, and Polylanguaging in Valencian Spanish| An Analysis of Data From Conversational Corpora and Twitter." Thesis, State University of New York at Albany, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10281503.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:

This study examines lexical borrowing, code switching, and polylanguaging in Valencian Spanish to better understand how each is used differently in oral conversation in comparison with online communication on Twitter. This study compares data collected from three published corpora of oral interviews of speakers of Valencian Spanish with data collected from Twitter profiles of individuals residing in Valencia. In each of the sources Spanish is the preferred code into which Valencian material is inserted. A unique feature of data from the published corpora is the high frequency of code switching (CS) into Valencian in instances of reported speech. With regard to frequency, Twitter users switch from Spanish into Valencian, followed by from Valencian into Spanish and then from Spanish into English. On Twitter, the most frequent type of switch found is the tag switch, which includes exhortatives, greetings and farewells, happy birthday wishes, and a variety of other types of tags and other idiomatic expressions used in a highly emblematic fashion as a way of preforming identity. Both intrasentential and intersentential switches also appear online and reflect how discourse might be organized differently online than offline. In looking at lone vs. multiword insertions, the importance of turn taking is noted and instances where speakers are not in a naturalistic conversation evidence traits which influence patterns of CS and polylanguaguing. Additionally, lexical economy is suggested as a motivating factor for CS on Twitter given the platform’s technological limitation of 140 characters per tweet.

2

Russ, Robert Brice. "Examining Regional Variation Through Online Geotagged Corpora." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385420187.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Stephan, David Paul. "Just Tweet It: Sports Teams' Communication of CSR on Twitter." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6082.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
The sports industry has been made distinct from traditional business for many reasons including its body of stakeholders and its position in popular media. For these reasons, corporate social responsibility (CSR) efforts and the communication of them in professional sports is known to be addressed differently. The following research has been conducted in order to learn how well professional sports teams are doing to communicate CSR to the particular stakeholders who are also their social media followers. Sports teams' Twitter accounts were analyzed and tweets concerning CSR were identified. Findings suggested that only 3.94% of professional sports teams' tweets were related to CSR. It was also found that intrinsically, market size and on-field team performance do not affect CSR tweeting. When viewed together, however, it has been found that smaller market losing teams tweet more CSR than larger market losing teams while smaller market winning teams tweet less CSR than larger market winning teams. This finding lends insights into the strategic purposes of CSR in the professional sports industry. When small market sports teams do not have a successful season, they seem to restore their reputation via the CSR function more so than larger market teams in a similar situation do. Additionally, winning teams of the larger market tweet more CSR than smaller market winners. The conclusion is that, although relatively little CSR tweeting is done in professional sports, smaller market professional sports teams' CSR tweeting is spurred by poor performance, whereas larger market sports teams' CSR tweeting is spurred by winning.
4

Gionchetti, Enrico <1996&gt. ""Twitter, social corporate responsibility and economic performance: how multinational companies exploit social media"." Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20842.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
The digital era has completely changed the way we communicate. This study aims to explore the way through which some of the largest companies use Twitter to reach out to their stakeholders. Moreover, defining the purposes of a business or a company has always been controversial. Indeed, it is very common to believe that business is driven by the desire to make a profit. However, in recent times, there has been a significant change in our understanding of what should be the principal objective of a business and how it can affect society. In this research is argued that the concept of the so-called social responsibility is becoming more prevalent in business; there are companies, especially those from the multinational groups, that have shown a growing interest in carrying out some type of corporate social activities. In order to produce a clear research about the possible correlation between Corporate Social Responsibility and tech company’s performance, in this dissertation will be taken into considerations Multinational tech companies. These are the best candidates, due to their general business model characteristics and the sustainable competitive advantage. The research is conduct analyzing ten companies which are selected from the ranking of the “Fortune 500”. More precisely, these are the “10 Best Large Workplaces in Technology” (ranking 2021). The companies that will be here examined, have distinguished themselves in their conduct and social commitment during the COVID-19 pandemic. To conduct this research analysis, Social Corporate Responsibility should be correlated to financial performance; this result would be reached through the analysis of the social media platform called Twitter. Indeed, it is a core tool in communication and marketing areas. Consequently, the best practice would be to analyze the Twitter activities of these companies, both the company account itself and especially how company executives communicate social responsibility issues on their accounts. We will try to understand if there is a positive correlation between some particular social responsibility issues and company stock price variation, which will represent the financial performance of the company itself and will be gathered through one of the most reliable financial market websites which is “www.YahooFinance.com”. Furthermore, in Chapter 1 it is explained Corporate Social Responsibility in modern times with a specific focus on how it is communicated by corporations. We will also delve into social media, that represents one of the most used tools to communicate corporates` initiatives. Within Chapter 2 it is introduced the role of social media nowadays with a specific focus on Twitter, one of the most famous social media which represents the starting point of this thesis research. The following step will be explained within Chapter 3 which is about companies’ profile (business model canvas and key financial results) in order to being able to make a comparison between them. The ultimate aim of this research is to understand if Corporate Social Responsibility has the possibility to modify stock prices.
5

Miletic, Filip. "An investigation into contact-induced semantic shifts in Quebec English : conciliating corpus-based vector models and variationist sociolinguistic inquiry." Electronic Thesis or Diss., Toulouse 2, 2022. http://www.theses.fr/2022TOU20034.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Cette thèse étudie les glissements de sens induits par le contact de langues en anglais québécois, à savoir des mots anglais préexistants utilisés avec un sens différent en raison d’une influence potentielle du français. Nous proposons une approche novatrice à l’intersection du traitement automatique des langues et de la sociolinguistique variationniste, afin de fournir une description exhaustive de ce phénomène ainsi que d’évaluer les contributions des approches sur corpus mises en œuvre ici.Afin d’effectuer des analyses computationnelles de variation sémantique, nous avons constitué un corpus composé de 78,8 millions de tweets de Montréal, Toronto et Vancouver. Le corpus a été utilisé pour mettre en œuvre différents types de modèles vectoriels, à savoir des représentations computationnelles du sens des mots. Les modèles statiques ont permis d’identifier de nouveaux glissements de sens, alors que les modèles contextuels ont permis de caractériser plus finement leurs utilisations. Malgré des résultats prometteurs, ces méthodes sont limitées par le bruit lié à leurs caractéristiques intrinsèques et à la structure du corpus.Ces approches ont été complétées par des données plus fines recueillies au moyen d’entretiens sociolinguistiques avec 15 locuteurs vivant à Montréal. Les corrélations entre les variables linguistiques et différents facteurs sociodémographiques, ainsi que les remarques qualitatives sur leur utilisation, indiquent quatre patterns de variation synchronique ; ceux-ci pourraient à leur tour refléter des processus diachroniques. Par ailleurs, la variabilité inter-locuteurs suggère un rôle important des locuteurs bilingues et plus jeunes dans l'utilisation des glissements de sens. Enfin, les scores d'acceptabilité sont faiblement corrélés avec les mesures computationnelles, ce qui suggère que ceux-ci reflètent d’autres dimensions de variation sémantique.Dans l'ensemble, cette thèse a fourni la première description systématique des glissements de sens en anglais québécois. Elle a également mis en évidence la complémentarité des approches développées dans des disciplines différentes. Ces considérations ouvrent la voie à une utilisation plus avisée des méthodes computationnelles basées sur corpus dans des études de phénomènes sociolinguistiques
This dissertation investigates contact-induced semantic shifts in Quebec English, i.e., preexisting English words which are used with a different meaning due to the potential influence of French. I propose a novel approach at the intersection of natural language processing and variationist sociolinguistics, aiming to provide a more comprehensive descriptive account as well as assess the contributions of the implemented methods.In order to conduct computational analyses of semantic variation, I created a corpus containing 78.8 million tweets from Montreal, Toronto, and Vancouver. It was used to implement different types of vector space models, i.e., computational representations of word meaning. Type-level models were used to identify new semantic shifts based on the semantic differences between Montreal and the other two cities. Token-level models were used in finer-grained analyses and allowed to further characterize their use. Despite promising results, systematic quantitative evaluation and extensive qualitative analyses suggest that these methods are hampered by noise related to their inherent characteristics as well as corpus structure.These large-scale approaches were complemented with finer-grained data collected through sociolinguistic interviews with 15 speakers living in Montreal. Varying correlations between lexical items and a range of sociodemographic factors, coupled with qualitative remarks on their use, point to four distinct patterns of synchronic variation; these in turn reflect potential diachronic processes. Interspeaker variability suggests that the use of semantic shifts is driven by speakers who tend to be younger and proficient in both English and French. The acceptability ratings are weakly correlated with computational variation measures, suggesting that they capture different dimensions of semantic variation.Overall, this dissertation has provided the first systematic description of contact-induced semantic shifts in Quebec English, and highlighted the complementarity of approaches used in different disciplines. These considerations have provided a pathway towards a better-informed use of corpus-based computational methods in studies of sociolinguistic phenomena
6

Skytt, Frida. "Sorry seems to be the hardest word : A case study of corporate apologies on Twitter." Thesis, Stockholms universitet, Engelska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-118088.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
As social media becomes a more important part of people’s everyday lives, it is also becoming a more important part of the corporate market. Due to the complaints received on social media sites, some forms of customer care are being directly, or indirectly, carried out on social media. Part of this customer care is apologizing in response to complaints. The purpose of this case study is therefore to examine the apologies, apology strategies and expressions of regret employed when apologizing in response to customer complaints on Twitter by the two airlines Norwegian Air Shuttle ASA and Air France. The aim of the study is to compare the different forms, and frequencies, of the apologies, apology strategies and expressions of sympathy/regret the companies employ to apologize. This is done through examining tweets from both airlines and looking at the use of certain keywords, as well as through analysis of the tweets in context. The results are then related to image repair theory and politeness theory. The most significant findings show a clear preference for certain Illocutionary Indication Devices, and strategies within each airline. Moreover, there is a clear difference in how the two airlines use Twitter to communicate with their customers, with Air France employing a more cohesive style, than Norwegian.
7

Короткіх, С. Г. "Корпоративний твіттер як стимулючий засіб привернення уваги до бренду". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38362.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Під поняттям «корпоративний твіттер» слід розуміти офіційну сторінку закладу, підприємства або компанії, яка ведеться від її імені. За її допомогою можна презентувати свої послуги та продукцію аудиторії цієї соціальної мережі. Головне завдання для власника – бути цікавим для цільової аудиторії.
8

Åstrand, Adam, and Naimul Abd. "What corporate social media content leads to higher consumer response : A study of local brands in Sweden." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53432.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Background: Social media is connecting billions of people from across the globe by fulfilling basic human needs of socializing and getting entertained. While companies are now actively turning to social media to know their customers better, build strong relationships, and spread marketing messages, many are still struggling to figure out what corporate social media content actually works on social media. Purpose: This research aims to understand what type of corporate social media content generates the most consumer response. Methodology: This study employs content analysis of recent social media posts by a selection of top brands in Sweden on two main social media platforms: Facebook and Twitter. A total of ten brands with origin from Sweden were selected, based on 2015 Swedish Brand Award ranking, and their posts were examined to find out influence of corporate social media content on consumer response. A total of 400 posts were examined on verified Twitter profiles and Facebook Pages of these brands. Findings: Type of content which refers to whether the post has image, video, or text-only content, and content orientation which can be task-oriented, self-oriented, or interaction-oriented have a statistically significant relationship with consumer response. In terms of type of content, posts with video and image content can lead to higher consumer response and in terms of content orientation task-oriented content can lead to higher consumer response. Other variables in the study, namely, communication cues, traceability cues, and time-frame have not emerged as significant in this study. Implications: When developing corporate social media content, it’s important to focus on type of content and content orientation. In terms of type of content, managers need to focus on having video and image content as this could lead to higher consumer response and in terms of content orientation, content related to brand / product / promotion (task-oriented) can lead to higher consumer response. Limitations: The study relies only on two main social media platforms and on the last 20 posts of each brand on each of these platforms and doesn’t take into account any seasonality as a full year period has not been studied. The study also relies on a general brand ranking list based in Sweden and not a ranking of brands on social media space. Further Research Suggestions: Future studies could focus on bringing more social media platforms into inquiry, improving sampling robustness by having a larger sample size and broader coverage of time period to account for any seasonality in data, comparing results between different countries, having a broader mix of brands in terms of type of business area or sector or stage of brand development, and blending together the corporate and consumer perspectives. Finally, to account for platform size differences, researchers need to come up with a measure that controls for this variation across platforms. Keywords: Social Media Content, Social Media Platforms, Facebook, Twitter, Communication
9

Amozegar, Mahdiyeh. "Tweeting in Times of Crisis: Shifting Personal Value Priorities in Corporate Communications and Impact on Consumer Engagement." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42416.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Branding in the age of social media is thriving as companies continue to pour resources into digital campaigns in the hope of engaging their customers. The onset of the COVID- 19 pandemic boosted the importance of digital communication channels as physical distancing and lockdown measures disrupted business-as-usual and limited in-person interactions between firms and their customers. By implication, the global crisis pressed companies to deliver brand messages via online content to sustain or build customer relationships. This research focuses first on the branded content of corporate communications during the pandemic, focusing specifically on whether firms used the opportunity to showcase shared personal values. Second, we examine whether using value words in social media messages impacts customer engagement with these messages. To address these related questions, we collected Twitter data from Fortune 500 firms posted between January 2020 until the end of August 2020, attending to 56,770 firm- initiated tweets (we excluded firm responses to customer messages). The first study examines the personal values expressed in the messages using the Personal Values Dictionary, based on Shalom Schwartz’s original ten-value typology. We argue that the unprompted expression of values in a text is a behavioural indicator of personal value priorities. The findings compare firms’ shifting value priorities over time and association with key events, namely the global pandemic declaration (March 11, 2020) and ensuing lockdowns and George Floyd’s murder (May 25, 2020), and BLM protests. We find that, indeed, companies did shift their value priorities. The second study assesses consumer response to the values companies put forth in their tweets, focusing on social media indicators of consumer engagement (CE), including the number of likes, retweets, replies, and CE correlation with the values promoted in the tweets. We observe a pre- post-crisis shift in CE with value-laden messages. Our findings provide managerial insights that can guide marketers to manage their social media content more efficiently and better align their marketing and branding efforts with customers' values in times of crisis.
10

Davis, Jeannette Katherine. "An invitation to understand: An alternative approach to the corporate voice in public relations." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98577.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
This thesis introduces public relations scholars and practitioners to the benefits of using an invitational rhetoric approach to the corporate voice instead of relying on traditional rhetorical approaches that are grounded in persuasive, authoritative intent. Because of societal changes inspired by changing gender norms, the traditional masculine corporate voice may no longer be the most effective corporate communication style. Traditional approaches to corporate communication are being challenged by more inclusive approaches that emphasize meaning co-creation with the public over purely persuasive approaches. This thesis conducts a case study of the Bud Light brand's use of Twitter. The purpose of this thesis is to determine if the brand uses an invitational rhetoric approach, and, if so, explore how Bud Light uses this approach. The thesis also analyzes the implications of this approach for corporate public relations practice. I argue an invitational rhetoric approach to corporate public relations may encourage more equitable communication between organizations and publics rather than privilege one authoritative, persuasive corporate voice over other voices involved in the conversation.
Master of Arts
This thesis introduces public relations scholars and practitioners to the benefits of using a more inclusive approach to their corporate voice on social media through an approach called invitational rhetoric. Invitational rhetoric is defined by Foss and Griffin (1995) as an "invitation to understanding as a means to create a relationship rooted in equality, immanent value, and self-determination" (p. 5). Because of societal changes inspired by changing gender norms, the traditional masculine corporate voice that is grounded in persuasive, authoritative intent may no longer be the most effective corporate communication style. Traditional approaches to corporate communication are being challenged by more inclusive approaches that emphasize interaction and understanding with the public over purely persuasive approaches. This thesis conducts a case study of the Bud Light brand's use of Twitter. The purpose of this thesis is to determine if the brand makes use of an invitational rhetoric approach, and, if so, explore how Bud Light uses invitational rhetoric. The thesis also analyzes the implications of an invitational rhetoric approach for corporate public relations practice. I argue an invitational rhetoric approach to corporate public relations may encourage more equitable communication between organizations and publics rather than privilege one authoritative, persuasive corporate voice over other voices involved in the conversation.
Більше джерел

Книги з теми "Twitter corpora":

1

Coats, Steven, and Veronika Laippala. Linguistics across Disciplinary Borders. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350362291.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies
2

Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. New York, USA: Portfolio Hardcover, 2013.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Tereszkiewicz, Anna. Customer Encounters on Twitter: A Study of Positive Evaluation and Complaint Management on English Corporate Profiles. Jagiellonian University, 2020.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Bilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Penguin Publishing Group, 2014.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Bilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Hodder & Stoughton, 2014.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

London, Ian. Hollywood Online. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9781501337789.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Hollywood Online provides a historical account of motion picture websites from 1993 to 2008 and their marketing function as industrial advertisements for video and other media in the digital age. The Blair Witch Project is the most important example of online film promotion in cinema history. Over the last thirty years only a small number of major and independent distributors have converted internet-created buzz into box-office revenues with similar levels of success. Yet readings of how the film’s internet campaign broke new ground in the summer of 1999 tend to minimize, overlook or ignore the significance of other online film promotions. Similarly, claims that Blair initiated a cycle of imitators have been repeated in film publications and academic studies for more than two decades. This book challenges three major narratives in studies about online film marketing: Hollywood’s major studios and independents had no significant relationship to the internet in the 1990s; online film promotions only took off after 1999 because of Blair; and Hollywood cashed-in by initiating a cycle of imitators and scaling up corporate activities online. Hollywood Online tests these assumptions by exploring internet marketing up to and including the film’s success online (Pre-Blair, 1993-9), then by examining the period immediately after Blair (Post-Blair, 2000-8) which broadly coincides with the rise and decline of DVD, as well as the emergence of the social media sites MySpace, Facebook and Twitter.
7

Anderson, C. W., Leonard Downie, and Michael Schudson. The News Media. Oxford University Press, 2017. http://dx.doi.org/10.1093/wentk/9780190206192.001.0001.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
The business of journalism has an extensive, storied, and often romanticized history. Newspaper reporting has long shaped the way that we see the world, played key roles in exposing scandals, and has even been alleged to influence international policy. The past several years have seen the newspaper industry in a state of crisis, with Twitter and Facebook ushering in the rise of citizen journalism and a deprofessionalization of the industry, plummeting readership and revenue, and municipal and regional papers shuttering or being absorbed into corporate behemoths. Now billionaires, most with no journalism experience but lots of power and strong views, are stepping in to purchase newspapers, both large and small. This addition to the What Everyone Needs to Know® series looks at the past, present and future of journalism, considering how the development of the industry has shaped the present and how we can expect the future to roll out. It addresses a wide range of questions, from whether objectivity was only a conceit of late twentieth century reporting, largely behind us now; how digital technology has disrupted journalism; whether newspapers are already dead to the role of non-profit journalism; the meaning of “transparency” in reporting; the way that private interests and governments have created their own advocacy journalism; whether social media is changing journalism; the new social rules of old media outlets; how franchised media is addressing the problem of disappearing local papers; and the rise of citizen journalism and hacker journalism. It will even look at the ways in which new technologies potentially threaten to replace journalists.

Частини книг з теми "Twitter corpora":

1

Moreno-Ortiz, Antonio. "Managing Large Twitter Datasets." In Making Sense of Large Social Media Corpora, 31–58. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52719-7_3.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
AbstractThis chapter provides a thorough discussion of Twitter/X corpora in terms of compilation and management. Twitter corpora differ from other types of corpora in many aspects, as they are composed of a very large number of very small documents (tweets), each with a slew of metadata, that can be downloaded through scripts that make use of available APIs, which calls for certain tools and techniques. The type of language used in social media is also very different from other, more standard genres, both in form and content. When this is coupled with large-size corpora, effective sampling techniques are necessary, which are discussed at length in this chapter. Finally, a description is given of using geotagged data and subcorpora creation and management.
2

Baker, Paul, and Tony McEnery. "Who Benefits When Discourse Gets Democratised? Analysing a Twitter Corpus around the British Benefits Street Debate." In Corpora and Discourse Studies, 244–65. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137431738_12.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Bazo, Alexander, Manuel Burghardt, and Christian Wolff. "TWORPUS – An Easy-to-Use Tool for the Creation of Tailored Twitter Corpora." In Language Processing and Knowledge in the Web, 23–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40722-2_3.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Tapia, Pablo A., and Juan D. Velásquez. "Twitter Sentiment Polarity Analysis: A Novel Approach for Improving the Automated Labeling in a Text Corpora." In Active Media Technology, 274–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09912-5_23.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Almström Persson, Gunilla. "Crisis Communication on Social Media: Informalization in the Hour-by-Hour Struggle for Information." In Nordic Perspectives on the Discourse of Things, 117–37. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33122-0_6.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
AbstractThis chapter concerns the communicative conditions in the relation between informal practice of sakprosa and informal style in social media communication. By focusing on knowledge and interaction in authorities’ crisis communication, the objective is to discuss whether the public discourse undergoes an informalization within the framework of critical discourse analysis. The aim of this study is to shed light on communicative strategies in authorities’ prose on social media. The data consist of two corpora from the Twitter platform of the Swedish crisis authority—the first from the terror attack in Stockholm in 2017 and the second from an official false alarm for a total number of 1,951 tweets. Methodologically, the data are arranged chronologically and rest on a qualitative approach to style.A result of this study is that boundaries within the public discourse in social media are not blending, but rather are parallel. When the authority takes the initiative to post informative tweets, they use formal written style. On the contrary, when they write responses to citizens’ tweets, they often use a personal and informal style. Another result is that when the authority does not communicate, it seems to trigger citizens to post informal and sometimes harsh comments.
6

Tontodimamma, Alice, Stefano Anzani, Marco Antonio Stranisci, Valerio Basile, Elisa Ignazzi, and Lara Fontanella. "An experimental annotation task to investigate annotators’ subjectivity in a Misogyny dataset." In Proceedings e report, 281–86. Florence: Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.49.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
In recent years, hatred directed against women has spread exponentially, especially in online social media. Although this alarming phenomenon has given rise to many studies both from the viewpoint of computational linguistics and from that of machine learning, less effort has been devoted to analysing whether models for the detection of misogyny are affected by bias. An emerging topic that challenges traditional approaches for the creation of corpora is the presence of social bias in natural language processing (NLP). Many NLP tasks are subjective, in the sense that a variety of valid beliefs exist about what the correct data labels should be; some tasks, for example misogyny detection, are highly subjective, as different people have very different views about what should or should not be labelled as misogynous. An increasing number of scholars have proposed strategies for assessing the subjectivity of annotators, in order to reduce bias both in computational resources and in NLP models. In this work, we present two corpora: a corpus of messages posted on Twitter after the liberation of Silvia Romano on the 9th of May, 2020 and corpus of comments constructed starting from posts on Facebook that contained misogyny, developed through an experimental annotation task, to explore annotators’ subjectivity. For a given comment, the annotation procedure consists in selecting one or more chunk from each text that is regarded as misogynistic and establishing whether a gender stereotype is present. Each comment is annotated by at least three annotators in order to better analyse their subjectivity. The annotation process was carried by trainees who are engaged in an internship program. We propose a qualitative-quantitative analysis of the resulting corpus, which may include non-harmonised annotations.
7

Adi, Ana. "#CSR on Twitter." In Communicating Corporate Social Responsibility in the Digital Era, 340–57. 1 Edition. | New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315577234-21.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Adi, Ana. "#Sustainability on Twitter: Loose Ties and Green-Washing CSR." In Corporate Responsibility and Digital Communities, 99–122. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63480-7_6.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Farache, Francisca, Isobel Tetchner, and Jana Kollat. "CSR Communications on Twitter: An Exploration into Stakeholder Reactions." In Corporate Responsibility and Digital Communities, 145–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63480-7_8.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Loke, R. E., and I. Zerouk. "Corporate Reputation of Companies on Twitter Seen from a Sustainability Perspective." In Marketing and Smart Technologies, 515–33. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9272-7_42.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Twitter corpora":

1

Hajjem, Malek, Chiraz Latiri, and Yahya Slimani. "Twitter As a Multilingual Source of Comparable Corpora." In MoMM '14: The 12th International Conference on Advances in Mobile Computing and Multimedia. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2684103.2684154.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Vilares, David, Miguel A. Alonso, and Carlos Gómez-Rodríguez. "Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora." In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/w15-2902.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Tan, Luchen, Haotian Zhang, Charles Clarke, and Mark Smucker. "Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings." In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/p15-2108.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Di Giovanni, Marco, and Marco Brambilla. "Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.780.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Tyshchenko, Oleh. "FORMULATIONS OF WISHES IN THE TRADITIONAL RUSSIAN FOLKLORE AND IN THE INTERNET COMMUNICATION." In Aktuální problémy výuky ruského jazyka XIV. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9781-2020-23.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
The article discusses the processes of transformation of wishes in modern precedent texts and social networks. It also focuses on the messages from Russian Twitter (in which there occur substitutions, omissions, additions, contaminations, occasional coinages or the usage of expressions in their direct meaning). The research presents the results of the origin of expressions Pip to your tongue, No bottom no cover, etc. analysis and reveals their frequency in text corpora from chronological perspective. The origin of these phrases is well known and is recorded in dictionaries and in the usage, speech practice and dialect phraseology of the Russian language and traditional folklore.
6

Swamy, Steve Durairaj, Anupam Jamatia, Björn Gambäck, and Amitava Das. "NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora." In Proceedings of the 13th International Workshop on Semantic Evaluation. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/s19-2124.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Moyo, Tabani, Cecile Gerwel Proches, Emmanuel Mutambara, and Upasana Gitanjali Singh. "Study of Twitter as a social blog and its impact on the intersectionality of corporate governance and corporate reputation management in the telecommunications industry." In New outlooks for the scholarly research in corporate governance. Virtus Interpress, 2023. http://dx.doi.org/10.22495/nosrcgp21.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
This is a study of Twitter as a social blog and its impact on the intersectionality of corporate governance and corporate reputation management in the Zimbabwean telecommunications industry. The study reveals that the use of social blogs in managing corporate reputation in the digital era depends on good corporate reputation practices. The research shows that there is a positive link between Twitter and customers’ usage of this social blog.
8

Tan, Wai Beng, and Tong Ming Lim. "A Study on the Centrality Measures to Determine Social Media Influencers in Twitter." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1021.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
In recent years, many people have been influenced by YouTuber stars, celebrities, and influencers to their online products, especially on Twitter. Many celebrities who have many followers would start promoting certain products to all their fans and followers. Fans and followers have to share the show with their friends to gain more popularity among other audiences. Celebrities have played a vital role in corporate brands as they can promote the brand products and have also attracted many people who are interested in purchasing the products. Therefore, the group of celebrities can be called social media influencers (SMI). In social network analysis (SNA), a node value influential a network called centrality. Centrality is defined as a value that represents how many connections are from nodes to other nodes (Wasserman & Faust, 1994). There are many methods to define centrality to identify the effect of each node in a social network such as Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), and Eigenvector Centrality (EC). Among these, the eigenvector centrality will give the most influential node in a network. A node with the highest eigenvector value among the other nodes is the most influential/important node in a network. Data was collected from Twitter using the Twitter API with the hashtag #pizzzahut. The goal of this research is to identify the main influencer in the Twitter community. It applied the eigenvector centrality to observe the effect of the centrality value for Twitter data. The result shows that there is a significant difference among the 3 most influential users. This result will be used for future research that will be focused on small and medium enterprise (SME) Twitter data. This research is held a comparison analysis between the 4 centrality measurements approach for determining the most influential user with social network Twitter as its case study. Keywords: Social Media Influencer, Social Network Theory, Centrality Measures
9

Heine, Alexandre A. P., Bruno Coutinho, Mariana Barreto, Nicholas Xavier, Marcos V. Villas, Arthur Ituassu, and Sérgio Lifschitz. "Análise de Dados para Comunicação Política a partir de um Sistema de Coleta de Tweets." In Anais Estendidos do Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbbd_estendido.2021.18162.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Este artigo apresenta o projeto, a pesquisa e o desenvolvimento de uma ferramenta de coleta e análise de dados do Twitter, que tem por objetivo avaliar os dados publicados nesta rede social, em particular voltados para a área de comunicação política. Além de explicar brevemente a arquitetura do sistema, descrevemos algumas funcionalidades importantes, a saber: a coleta de dados por streaming; as análises relativas aos links compartilhados; a identificação de usuários que realizaram retweets; e o estudo de polaridade dos sentimentos expressos no corpo dos tweets. Dentre os desafios encontrados destacamos o pré-processamento dos dados coletados, as limitações no uso da API do Twitter e a obtenção e preparação da bases de dados para a análise de sentimentos.
10

Bianchi, Annamaria, Camilla Salvatore, and Silvia Biffignandi. "Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11646.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Анотація:
Social media are fundamental in creating new opportunities for firms and they represent a relevant tool for the communication and the engagement with customers. The purpose of this paper is to analyse the communication of Corporate Social Responsibility (CSR) activities on Twitter. We consider the listed companies included in the Dow Jones Industrial Average Index and we implement a topic model analysis on their timelines. In order to identify the topic discussed, their correlation, and their evolution over time and sectors,we apply the Structural Topic Model algorithm, which allows estimating the model including document-level metadata. This model proves to be a powerful tool for topic detection and for estimating the effects of document-level metadata. Indeed, we find that the topics are overall well identified, and the model allows catching signals from the data. Finally, we discuss issues related to the validity of the analysis, including data quality problems.

До бібліографії