Fatih Demir

Dr. Fatih Demir


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
17 April 2021 in Technology, Knowledge and Learning
Verified
Journal Article
Closed access
PDF file
FDFatih Demir
Fatih Demir
CBCharmaine Bruce-Kotey
Charmaine Bruce-Kotey
FAFahad Alenezi
Fahad Alenezi

14 January 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
SLSungchul Lee
Sungchul Lee
EHEunmin Hwang
Eunmin Hwang
YKYanghee Kim
Yanghee Kim
FDFatih Demir
Fatih Demir
HLHyunhwa Lee
Hyunhwa Lee
Kiho LimKiho Lim
Kiho Lim
With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A traditional way of maintaining an adequate body mass index (BMI), calculated by measuring the weight and height of an individual, is no longer enough, and we are in need of a better health care tool. Therefore, the current research proposes an easier method that offers instant and real-time feedback to the users from the data collected from the motion sensors of a smartphone. The study utilized the mHealth application to identify participants presenting the walking movements of the high BMI group. Using the feedforward deep learning models and convolutional neural network models, the study was able to distinguish the walking movements between nonobese and obese groups, at a rate of 90.5%. The research highlights the potential use of smartphones and suggests the mHealth application as a way to monitor individual health.

1 June 2020 in International Journal of Media & Cultural Politics
Verified
Journal Article
Closed access
IOIsmail Onat
Ismail Onat
SCSuat Cubukcu
Suat Cubukcu
FDFatih Demir
Fatih Demir
DADavut Akca
Davut Akca
Anti-Americanism is a growing tendency among people in Turkey, and the media is one source of this negative sentiment. After the failed military coup attempt in Turkey on 15 July 2016, more than 150 domestic media outlets were shut down, including television channels, daily newspapers, radio stations, news websites, and even social media. Local affiliates of international media companies such as Deutsche Welle Turkish, however, have remained immune to such government interventions to some extent. Considering the difference in the level of independence from Turkish government influence, this study aims to explore how the anti-American sentiment in the news varied across different media outlets. With the content of 690 online news reports, a sentiment analysis compared the pro-government Sabah and Yeni Şafak daily newspapers with two internationally owned and more independent media outlets, BBC News Turkish and Deutsche Welle. The results showed a significant discrepancy between the two groups in terms of how they framed news related to the United States. The domestic media framed and reported the US-related news with a more negative slant, including the use of offensive and pejorative narratives about the United States and its politics. BBC Turkish and Deutsche Welle, however, reported news about the United States with a relatively more neutral and objective language.

1 September 2020 in Communication and the Public
Verified
Journal Article
Closed access
PDF file
FDFatih Demir
Fatih Demir
MBMehmet F Bastug
Mehmet F Bastug
ADAziz Douai
Aziz Douai
Over the last decade, social media platforms have become the leading communication tools for activists and protesters all over the world. Understanding protesters’ motivations and reasons for using social media is a challenging issue for researchers. In this article, we analyzed the use of Twitter during the anti-governmental protests in Istanbul that was launched in May 2013. We examined 13,794 tweets posted to the #direngeziparki hashtag over a 6-day period. Based on the results of a qualitative content coding of the tweets, we found that the Twitter platform was widely used to mobilize protesters, share information about the events, and express opinions about the policing of the protests. We argue that social media can help keep protests peaceful by preventing vandalism, informing the protesters about extremist or violent groups participating in the protests, and can help them to avoid engaging in violent acts against police forces.

26 July 2021 in Contemporary Educational Technology
Verified
Journal Article
Closed access
PDF file
DKDongho Kim
Dongho Kim
EJEulho Jung
Eulho Jung
HZHua Zheng
Hua Zheng
NWNick Webster
Nick Webster
AHAdonis Hamad
Adonis Hamad
FDFatih Demir
Fatih Demir
Higher education institutions partner with technology providers to stay competitive in the fast-evolving innovations of technological advancements. The purpose of this study is to reflect on and investigate technology integration cases at a mid-sized public university in the U.S. Taking a qualitative research approach, this study utilizes critical reflection and multiple case studies (Stake, 2006). After reviewing the data, a technology partnership model was created that is composed of five phases: (1) analysis, (2) negotiation, (3) pre-implementation, (4) implementation, and (5) evaluation. The findings indicate that a systematic process must be utilized to ensure efficiency in vendor–university partnerships. Discussions, limitations, and implementation are provided.

19 December 2019 in American Journal of Qualitative Research
Verified
Journal Article
Open access
PDF file
FDFatih Demir
Fatih Demir
The characteristics of a particular user need to be evaluated to inform the design in the field of Human-Computer Interaction (HCI) design (Demir et al., 2017). This research consists of an evaluation of the characteristics of Asperger Syndrome (AS) and a budgeting tool has been proposed for children with the AS. The research results show that simplicity, consistency, color-coding and efficient labeling in design helps to reduce the cognitive load of the children with AS, thus, make the design more usable and useful for them.