| 1. |
- Ozturkcan, Selcen, et al.
(författare)
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A deadly game user experience : the case of #BlueWhaleChallenge
- 2020
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Ingår i: Game user experience and player-centered design. - Cham : Springer. - 9783030376420 - 9783030376437 ; , s. 395-407
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Bokkapitel (refereegranskat)abstract
- Lately, the Blue Whale Challenge, which is also known as the Blue Whale Game, received public attention via the countless news about teenagers all around the world harming themselves as they engage with the so-called game (Balhara et al., Asia Pac Psychiatry, 10(3), 2018; Sousa et al., Int J Soc Psychiatry, 63(8), 796–797, 2017). Though referred to as a game, it involves a series of self-harming tasks (Narayan etal., Indian J Psychiatry, 61(1), 2019), which spread via social media for completion in 50 days.The final task reported as to commit suicide (Khattar et al., White or Blue, the Whale gets its Vengeance: A Social Media Analysis of the Blue Whale Challenge, 2018). The victims of the Blue Whale Challenge, being mostly teenagers and young adults, the significant concern rising from the families calls for the topic to treated as that of a severe public health issue (Kumar et al., Psychobiological determinants of ‘Blue Whale Suicide Challenge’ victimization: A proposition for the agency mediated mental health risk in new media age, 2017). To this date, the blue whale challenge is perhaps the only game that demands its user to end his/her life for completing the game (Mukhra et al., Sci Eng Ethics, 25(1), 285–291, 2019). This chapter aims to explore the collection of news that involved the often-deadly game user experiences. Contributions are in several folds starting from the game user experience field to the gamer psychology as well as public health policy development and text analysis of broadcasted news surrounding a critical public concern.
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| 2. |
- 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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| 3. |
- Ozturkcan, Selcen, Associate Professor, 1977-, et al.
(författare)
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Flygskam and its Implications for Sustainable Tourism : A Social Media Analysis of the Flight Shaming
- 2024
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Ingår i: Marketing and consumer behaviour in sustainable tourism. - London : Routledge. - 9781032483511 - 9781003388593 - 9781032483535 ; , s. 158-174
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Bokkapitel (refereegranskat)abstract
- The phenomenon referred to as flygskam, which may be literally translated as “flying shame”, is the focus of this proposed chapter. This flygskam movement was initially started in Sweden, but it has since spread to a number of countries all over the world, despite only having a small amount of traction in the countries that are geographically adjacent to Sweden, such as Finland, Denmark, and Norway. In an era in which there is an imminent problem caused by climate change, the objective of the flygskam movement is to develop an action that will persuade people to avoid flying by shaming them on social media whenever flight praise sharing appears. The flygskam movement aims to raise awareness about the negative consequences that flying has on the environment. Researchers have shown interest in the flygskam movement; however, the majority of their efforts have been concentrated on applying more conventional research methods, such as interviewing people about their thoughts on how they understand the movement and how it influences the travel decisions they make. Research focused either on consumers, industry players, news coverage or social media practices but did not present a broad perspective to suggest a comprehensive conceptual model in between the different actors and media involved. This chapter’s objective is to provide the reader with a state-of-the-art review of present research and aims to contribute to the emerging research by suggesting an inclusive conceptual framework, which we further aim to test with data retrieved from social media. Given that the movement is disseminated through social media for consumer choices in the physical world, the implication of our research is particularly important to account for both actual and virtual behavioural patterns unfolding.
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| 4. |
- Senel, Kerem, et al.
(författare)
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Instantaneous R for COVID-19 in Turkey : Estimation by Bayesian Statistical Inference
- 2020
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Ingår i: Turkiye Klinikleri Journal of Medical Sciences. - : Turkiye Klinikleri. - 1300-0292 .- 2146-9040. ; 40:2, s. 127-131
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Tidskriftsartikel (refereegranskat)abstract
- The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days-long dataset from the beginning of the COVID-19 outbreak in Turkey for monitoring the progression of the pandemic. As it is also globally adapted, enforced social distancing measures help to keep the instantaneous reproduction number below one. The low levels of instantaneous R are referred to as a basis for several countries to relax their country-wide restrictions, while hindsight involves a possible second wave of infections to follow in China, Germany, and South Korea. Thus, policy and decision-makers need to be vigilant regarding the pandemic's progress. It is not yet sure if it is possible to maintain the instantaneous reproduction number below one, even at the lack of societal measures.
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| 5. |
- Senel, Kerem, et al.
(författare)
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Single Parameter Estimation Approach for Robust Estimation of SIR Model With Limited and Noisy Data : the case for COVID-19
- 2021
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Ingår i: Disaster Medicine and Public Health Preparedness. - : Cambridge University Press. - 1935-7893 .- 1938-744X. ; 15:3, s. e8-e22
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Tidskriftsartikel (refereegranskat)abstract
- The SIR model and its variants are widely used to predict the progress of COVID-19 worldwide, despite their rather simplistic nature. Nevertheless, robust estimation of the SIR model presents a significant challenge, particularly with limited and possibly noisy data in the initial phase of the pandemic. K-means algorithm is used to perform a cluster analysis of the top ten countries with the highest number of COVID-19 cases, to observe if there are any significant differences among countries in terms of robustness. As a result of model variation tests, the robustness of parameter estimates is found to be particularly problematic in developing countries. The incompatibility of parameter estimates with the observed characteristics of COVID-19 is another potential problem. Hence, a series of research questions are visited. We propose a SPE (“Single Parameter Estimation”) approach to circumvent these potential problems if the basic SIR is the model of choice, and we check the robustness of this new approach by model variation and structured permutation tests. Dissemination of quality predictions is critical for policy and decision-makers in shedding light on the next phases of the pandemic.
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| 6. |
- Tufan, Pinar, et al.
(författare)
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How does collectively seeking social media community support help employees solve organizational injustice-related problems? : An analysis of Twitter Big Data
- 2022
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Ingår i: Presented at Annual Conference of the Academy of Marketing: The Fabric of Life, 5-7 July, 2022. - : University of Huddersfield.
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Konferensbidrag (refereegranskat)abstract
- The current job market is characterized by turbulence and uncertainty, and employees seem to become highly sensitive to issues related to injustice. When employees perceive organizational injustice (i.e., distributive, procedural, interactional, and informational), they may seek social support. We suggest that employees, instead of approaching their supervisor/manager, colleagues, family, or friends as support providers, resort to social media to seek support from the network community. The communal nature of social media that embodies the possibility of interacting with individuals with similar characteristics makes it possible for those seeking collective support to benefit from the available mechanisms. Seeking community support seems to play a pivotal role, in that it can be focused on actions or emotions depending on what individuals actually need and look for when they seek social support. When seeking community-social support, employees may plan and act collectively. In response to their collective action, the social media community may engage in an intervention either by taking necessary actions (instrumental support) to help employees solve their problems related to organizational injustice or through supporting employees in managing their emotions (emotional support). Emotional community support is most likely as consequential as the instrumental one, given that providing emotional support is a strong indicator of choosing sides. Companies use social media to understand their reputation within society; therefore, when employees reach out to social media to seek support, that community support becomes eligible to help them out. Twitter, a widely accessible social media that allows exploring different social phenomena, will be utilized for event-specific targeted data collection. Streamed Twitter posts shared by publicly available accounts will be included in the dataset. A broad enough time period to encompass pre-, intra-, and post-event periods will be chosen. The analysis will consist of data cleaning, and structuring, where initial auto-coding will be completed by manually proofing. Plans for the initial analysis involve word frequency, polarization, network analysis, centrality, positive/negative sentiment, and sociogram. Findings are expected to be explorative for a better understanding of the above-detailed mechanisms about the capacity and eligibility of social-media community support that may help employees solve their organizational problems related to injustice.
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| 7. |
- Özdinc, Mesut, et al.
(författare)
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Predicting the progress of COVID-19 : the case for Turkey
- 2020
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Ingår i: Turkiye Klinikleri Journal of Medical Sciences. - : Türkiye Klinikleri. - 1300-0292 .- 2146-9040. ; 40:2, s. 117-119
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Tidskriftsartikel (refereegranskat)abstract
- The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light on the next phases of the pandemic.
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