| 1. |
- Çevik, Müge, et al.
(författare)
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Sosyal Medya Analitiği [Social Media Analytics] : Twitter için Büyük Veri Yaklaşımı [Big Data Approach for Twitter]
- 2015
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Konferensbidrag (refereegranskat)abstract
- Bu çalışma, büyük veri analizini sosyal medya araştırmalarında kullanımı için yöntem önerisinde bulunmaktadır. Büyük veri araştırmalarında, tümden gelim ya da tüme varım yerine alternatif olarak “abduction” yaklaşımı kullanılabilir (Kitchin, 2014). Bu yaklaşımda veri, en iyi açıklamanın çıkarılması açısından araştırmanın başlangıcından sonuçlanmasına kadar geçen her aşamada dikkat edilmesi gereken önemli bir unsurdur. Sosyal medya araştırmalarında veri hacmi büyüklüğü ve verinin oluşum hızının yüksekliği sebebiyle, büyük veri analizi benimsenen yöntemler arasında öne çıkmaktadır (Jacob, 2009). Bu bağlamda, sosyal medya araştırmalarında analitik ve yapısal bir yöntemin takip edilmesi, araştırmaların ve çıktılarının bilimsel niteliğinin korunması açısından önem taşımaktadır. Çalışmamızın amacı, sosyal medya analitiğine örnek oluşturmak ve özellikle Twitter analizi için büyük veri analizine dayanan bir araştırma yöntemi önerisinde bulunmaktır.
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| 2. |
- de Kervenoael, Ronan, et al.
(författare)
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Categorizing ‘intention to use’ e-government services through mobile phone : the importance of front loading activities
- 2008
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Ingår i: Paper presented at the International Conference on Information Resources Management (Conf-IRM), Niagara Falls, Ontario, Canada, May 18-20, 2008.
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Konferensbidrag (refereegranskat)abstract
- E-government has often been heralded as the new way forwards for emerging countries. While many such countries are already offering e-government services and are gearing up for further growth, little is actually known of the forming stages that are necessary to ensure a greater rate of success and avoid the traditional failure traps linked to new technology and information system adoption and diffusion. We situate our research in the case of mobile phone as a reflection of the current market situation in emerging countries. We contend, in this paper, that more research is needed to understand future intention to use e-government services through mobile phone technology. Front loading activities both from a government and technology perspectives are required to facilitate the decision making process by users.
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| 3. |
- Farhoudinia, Bahareh, et al.
(författare)
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Emotions unveiled : detecting COVID-19 fake news on social media
- 2024
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Ingår i: Humanities and Social Sciences Communications. - : Springer Nature. - 2662-9992. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- The COVID-19 pandemic has highlighted the pernicious effects of fake news, underscoring the critical need for researchers and practitioners to detect and mitigate its spread. In this paper, we examined the importance of detecting fake news and incorporated sentiment and emotional features to detect this type of news. Specifically, we compared the sentiments and emotions associated with fake and real news using a COVID-19 Twitter dataset with labeled categories. By utilizing different sentiment and emotion lexicons, we extracted sentiments categorized as positive, negative, and neutral and eight basic emotions, anticipation, anger, joy, sadness, surprise, fear, trust, and disgust. Our analysis revealed that fake news tends to elicit more negative emotions than real news. Therefore, we propose that negative emotions could serve as vital features in developing fake news detection models. To test this hypothesis, we compared the performance metrics of three machine learning models: random forest, support vector machine (SVM), and Naïve Bayes. We evaluated the models’ effectiveness with and without emotional features. Our results demonstrated that integrating emotional features into these models substantially improved the detection performance, resulting in a more robust and reliable ability to detect fake news on social media. In this paper, we propose the use of novel features and methods that enhance the field of fake news detection. Our findings underscore the crucial role of emotions in detecting fake news and provide valuable insights into how machine-learning models can be trained to recognize these features.
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| 4. |
- Farhoudinia, Bahareh, et al.
(författare)
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Fake news in business and management literature : A systematic review of definitions, theories, methods, and implications
- 2023
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Ingår i: Aslib Journal of Information Management. - : Emerald Group Publishing Limited. - 2050-3806 .- 2050-3814.
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Tidskriftsartikel (refereegranskat)abstract
- This paper aims to conduct an interdisciplinary systematic literature review of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies. The paper applies a focused, systematic literature review method to analyze articles on fake news in business and management journals from 2010 to 2020. The paper analyzes the definition, theoretical frameworks, methods, and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars. The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers, and policymakers. It provides recommendations to cope with the challenges and risks of fake news. The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news. The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that cover studies from different disciplines and focus on business and management studies.
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| 5. |
- Farhoudinia, Bahareh, et al.
(författare)
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Lexicon-based sentiment analysis of fake news on social media
- 2022
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Ingår i: Presented at the AIRSI2022 Conference: Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, Spain, July 11-13, 2022, Zaragoza, Spain, 2022. - Zaragoza, Spain.
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Konferensbidrag (refereegranskat)abstract
- Social media is considered one of the primary sources of information. Besides all benefits that social media bring to human life, the popularity of social media simultaneously caused a rapid spread of fake news. Fake news poses a serious threat to societies since it enhances the polarity among different ideas, such as political parties. The fake news issue was further exacerbated during the COVID-19 Pandemic, and fake news studies attracted the attention of plenty of researchers (e.g., Apuke & Omar, 2021; Elías & Catalan-Matamoros, 2020). For example, Fake news claiming that 5G cell towers affect the human immune system has led to the burning of some cell towers in Europe (Mourad et al., 2020). Researchers claimed that fake stories spread more rapidly than true ones on social media (Vosoughi et al., 2018). The rapid spread of fake news makes companies and organizations vulnerable. Fake news about a company can directly affect the company's stock price and cause financial losses. A literature review reveals that scholars from multidisciplinary areas are interested in this topic; for instance, psychology scholars aim to answer research questions such as why people believe and share fake news (Talwar et al., 2019) and what are the characteristics of people who share or are involved in the spread of fake news (Ben-Gal et al., 2019; Brashier & Schacter, 2020). Computer science scholars aim to find ways to detect fake news, using machine learning techniques to create detection models (Faustini & Covões, 2020; Ozbay & Alatas, 2020). Emotion and sentiment analysis of fake news have not been studied in the literature; thus, this research will contribute to the field significantly.
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| 6. |
- Ozturkcan, Selcen, et al.
(författare)
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An Actor-Network Theory (ANT) approach to Turkish e-government gateway initiative
- 2009
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Ingår i: Paper presented at the International Conference on eGovernment & eGovernance (Ice-Gov), Ankara, Turkey, March 12-13, 2009.
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Konferensbidrag (refereegranskat)abstract
- There are various models proposed in the literature to analyze trajectories of eGovernment projects in terms of success and failure. Yet, only the Actor-Network Theory (ANT) perspective (Heeks and Stanforth, 2007) considers the interaction factors among network actors and actants. This paper proposes the ANT for approaching to the Turkish e-Government Gateway initiative as a case study. In doing so, it provides valuable insight in terms of both local and global actornetworks which surround the initiative.
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| 7. |
- Ozturkcan, Selcen, et al.
(författare)
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An analysis of the Gezi Park social movement tweets
- 2017
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Ingår i: Aslib Journal of Information Management. - : Emerald Group Publishing Limited. - 2050-3806 .- 2050-3814. ; 69:4, s. 426-440
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Twitter usage during Gezi Park Protests, a significant large-scale connective action, is analyzed to reveal meaningful findings on individual and group tweeting characteristics. Subsequent to the Arab Spring in terms of its timing, the Gezi Park Protests began by the spread of news on construction plans to build a shopping mall at a public park in Taksim Square in Istanbul on May 26, 2013. Though started as a small-scale local protest, it emerged into a series of multi-regional social protests, also known as the Gezi Park demonstrations. The paper aims to discuss these issues.Design/methodology/approach: The authors sought answers to three important research questions: whether Twitter usage is reflective of real life events, what Twitter is actually used for, and is Twitter usage contagious? The authors have collected streamed data from Twitter. As a research methodology, the authors followed social media analytics framework proposed by Fan and Gordon (2014), which included three consecutive processes; capturing, understanding, and presenting. An analysis of 54 million publicly available tweets and 3.5 million foursquare check-ins, which account to randomly selected 1 percent of all tweets and check-ins posted from Istanbul, Turkey between March and September 2013 are presented.Findings: A perceived lack of sufficient media coverage on events taking place on the streets is believed to result in Turkish protestors’ use of Twitter as a medium to share and get information on ongoing and planned demonstrations, to learn the recent news, to participate in the debate, and to create local and global awareness.Research limitations/implications: Data collection via streamed tweets comes with certain limitations. Twitter restricts data collection on publicly available tweets and only allows randomly selected 1 percent of all tweets posted from a specific region. Therefore, the authors’ data include only tweets of publicly available Twitter profiles. The generalizability of the findings should be regarded with concerning this limitation.Practical implications: The authors conclude that Twitter was used mainly as a platform to exchange information to organize street demonstrations.Originality/value: The authors conclude that Twitter usage reflected Street movements on a chronological level. Finally, the authors present that Twitter usage is contagious whereas tweeting is not necessarily.
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| 8. |
- Ozturkcan, Selcen, 1977-, et al.
(författare)
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Analysis of tweets about football : 2013 and 2018 leagues in Turkey
- 2019
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Ingår i: Behavior and Information Technology. - : Taylor & Francis. - 0144-929X .- 1362-3001. ; 38:9, s. 887-899
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Tidskriftsartikel (refereegranskat)abstract
- Football has recently developed into a unique sector with complex management and marketing functions, where novel communication technologies are employed. In this paper, we aim to contribute to the numerous fields involving emerging European sports marketing literature, social media analytics, and digital consumer behaviour. Our purpose is to explore Twitter use related with football by analysing real-time streamed data in offering a longitudinal perspective by focusing on 2013 and 2018 leagues in Turkey via the use of social media analytics framework. Retrieved dataset involved randomly selected publicly available 370 thousand and 6.8 million real-time tweets in 2013 and 2018 leagues, respectively. We report that majority of tweets about the football was posted within the three-hour window before the match independent of the match result and the importance of the result. Moreover, pre-match tweeting volume was almost a crystal ball signalling match winning. Our findings are valuable for sports managers and marketers where some key suggestions provided are to involve particular contexts of winning or losing in their after-match marketing plans, to value weekdays as much as the weekends, and to utilise the after-work prime time of social media engagement.
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| 9. |
- Ozturkcan, Selcen, et al.
(författare)
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Digital national currency : example of Sweden and e-Krona
- 2019
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Ingår i: Paper presented at the 2nd International Conference on Digital Innovation, Entrepreneurship and Financing, Valencia, Spain, December 2-3, 2019. - Valencia, Spain. ; , s. 1-7
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Konferensbidrag (refereegranskat)abstract
- Financial Institutions all around the world are recently discussing possibilities to launch national digital currencies to replace the cash as we know it since the Lydians invention. In this paper, we review the concept by visiting the core definitions and focus on the Scandinavian market to understand the example of Sweden and the ongoing e-Krona project. We conclude by pointing out some research questions and call upon developing future collaborative research.
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| 10. |
- Ozturkcan, Selcen, et al.
(författare)
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M-Devlet Kullanici Kabul Potansiyeli. [M-Government User Acceptance Model] : Kumeleme Analizi ve Karar Agaci Yaklasimi. [Cluster Analysis and Decision Tree Approach]
- 2012
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Ingår i: C.Ü. İktisadi ve İdari Bilimler Dergisi. - 1303-1279. ; 3:2, s. 87-111
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Tidskriftsartikel (refereegranskat)abstract
- M-devlet, e-devletin ardından henüz gelişim safhasındadır. E-devlet hizmetlerinden faydalanmak için vatandaşların bilgisayara ve İnternet erişimine sahip olmaları gerekmektedir. Vatandaşların bilgisayar okur-yazarlık seviyelerinin henüz istenen seviyelere gelmemiş olması e-devlet kullanımının yaygınlaşmasını sınırlamaktadır. Öte yandan, ülkemizdeki cep telefonu cihaz parkına ve kapsama alanlarına bakıldığında, cihaz parkının yeni nesil telefonlardan oluştuğu, erişkin nüfusun önemli kısmının en az bir cep telefonu sahibi olduğu, ülkemizin hızlı ve uygun ücretli 3G Internet hizmetleri ile kapsandığı görülmektedir. Tüm bu bilgiler ışığında, m-devlet yaklaşımının Türkiye için benimsenmesinin önemli avantajları beraberinde getirebileceği düşünülebilir. Bu çalışma, m-devletin Türkiye'de geliştirilmesine yönelik kullanıcı kabulünü inceleyerek, ulusal yazına m-devlet çalışmaları alanında katkı yapmayı amaçlamaktadır.
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