Searched for: subject%3A%22twitter%22
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Pathak, Royal (author), Spezzano, Francesca (author), Pera, M.S. (author)
Social networks are a platform for individuals and organizations to connect with each other and inform, advertise, spread ideas, and ultimately influence opinions. These platforms have been known to propel misinformation. We argue that this could be compounded by the recommender algorithms that these platforms use to suggest items potentially...
journal article 2023
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Khalil, Mohammad (author), Wong, L.Y.J. (author), Er, Erkan (author), Heitmann, Martin (author), Belokrys, Gleb (author)
Twitter is a very popular microblogging platform that has been actively used by scientific communities to exchange scientific information and to promote scholarly discussions. The present study aimed to leverage the tweet data to provide valuable insights into the development of the learning analytics field since its initial days. Descriptive...
conference paper 2022
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Isch, Calvin (author), ten Thij, M.C. (author), Todd, Peter M. (author), Bollen, Johan (author)
Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism...
journal article 2022
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Chang, Haoliang (author), Huang, Jianxiang (author), Yao, Weiran (author), Zhao, Weizun (author), Li, L. (author)
Urban rail development can increase land value, reduce commute time, and increase accessibility, as reported in the literature. However, little is known about the impact of opening urban rail transit stations on people's sentiment, particularly in the context of large metropolises where population density is significantly high. This paper...
journal article 2022
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Hendrikse, Mila (author)
In May 2019, the Dutch Council of State rejected the national approach for reducing nitrogen emissions in Dutch nature. Farmers were targeted by the policy change: all licenses for agricultural expansion were revoked, affecting the financial livelihoods of farmers. Farmers did not take this well and, using social media platforms, started...
master thesis 2021
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Vaporidis, Dimitrios-Marios (author)
In this Master Thesis project, the objective is to study how can Supervised Machine Learning be used to detect text-based rumours for humanitarian activities in Twitter. A model was developed in this project in order to classify a tweet at question whether is a rumour or not and whether is relevant to humanitarian activities or not. The findings...
master thesis 2019
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van Rossum, Sabrine (author)
The theory of the Habermasian public sphere is applied to Twitter. To do so, the traditional literature on public opinion is combined with more recent literature on social media. After the literature research the main knowledge gap is identified. This gap is the lacking relation between the philosophical investigation on public opinion on...
master thesis 2018
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Özağaç, Deniz (author)
One of the main challenges of the recently popular data science field is establishing a common ground of understanding between technical methods and domain knowledge. Making smart and effective use of data is just as important for public organizations as it is for private organizations as our cities and their problems get more complex with...
master thesis 2018
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Grover, Purva (author), Kar, Arpan Kumar (author), Dwivedi, Yogesh K. (author), Janssen, M.F.W.H.A. (author)
Elections are among the most critical events in a national calendar. During elections, candidates increasingly use social media platforms to engage voters. Using the 2016 US presidential election as a case study, we looked at the use of Twitter by political campaigns and examined how the drivers of voter behaviour were reflected in Twitter....
journal article 2018
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Grover, Purva (author), Kar, Arpan Kumar (author), Dwivedi, Yogesh K. (author), Janssen, M.F.W.H.A. (author)
Elections are the most critical events for any nation and paves the path for future growth and prosperity of the economy. Due to its high impact, a lot of discussions take place among all stakeholders in social media. In this study, we attempt to examine the discussions surrounding USA Election, 2016 in Twitter. Further we highlight some of...
conference paper 2017
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Gong, X. (author)
Cities are complex systems, a particular dimension largely contributing to the complexity of cities is detected in the multiplicity of the behaviour of people who inhabit. In the urban context, these behaviours can be inferred from human activities. Understanding the distinctions of these activities between cities is crucial. Previous works...
master thesis 2016
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De Jong, N. (author)
Twitter contains massive amounts of user generated content that also contains a lot of valuable information for various interested parties. Twitcident has been developed to process and filter this information in real-time for interested parties by monitoring a set of predefined topics, exploiting humans as sensors. An analysis of the relevant...
master thesis 2015
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Dokter, E. (author)
Accidents, malfunctioning matrix signs, oil on the road and a bridge that is not able to close are examples of traffic events that happen every day on the Dutch roads. In the Netherlands we are able to measure traffic speeds and calculate travel times on highways and most important secondary roads using a network of connected traffic measuring...
master thesis 2015
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Sarabchi, F. (author)
Predicting the popularity of contents in social networks is quite important for several applications such as viral marketing, news propagation and personalization. In this work, we developed an statistical learning approach to predict the popularity of tweets in the twitter social network. We extracted several user-based, tweet-based and network...
master thesis 2015
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Prasetyo, N.D. (author)
Twitter is a microblogging service that has more than 500 million messages on a daily basis. Scholars has been utilizing Twitter to monitor people reactions in political activities, such as debates and campaigns. By doing so, some of them claim that a forecast or prediction to an election can be made. Using the data from 2014 Indonesia...
master thesis 2014
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Tao, K. (author)
In the past decade, the Social Web has evolved into both an essential channel for people to exchange information and a new type of mass media. The immense amount of data produced presents new possibilities and challenges: algorithms and technologies need to be developed to extract and infer useful information from the Social Web. One of the main...
doctoral thesis 2014
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Titos Bolivar, C. (author)
Over the last few years, social media have become part of the daily life of many people, leading scientists to study their users and the data they produce in numerous contexts. For instance, geo-enabled social media provide us with the means to study the dynamics and features of large geographical areas. In this thesis, our goal is to leverage...
master thesis 2014
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Post, F. (author)
Twitter is one of the most popular social media platforms nowadays with more than 500 million tweets being send on a daily basis. A great variety of topics is discussed on Twitter and health has become a widely mentioned topic on Twitter. Users share updates regarding their own personal health situation and they use Twitter to look up health...
master thesis 2014
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Setiya, K. (author)
High-tech and dynamic markets are faced with a rapidly changing environment and consumer requirements. At the same time, UGC is increasing drastically over the past years. UGC is becoming increasingly important in purchasing decisions while the business intelligence methods that leverage UGC are still in their infancy. A model that presents a...
master thesis 2014
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Gao, Q. (author)
Microblogging has become a popular mechanism for people to publish, share, and propagate information on the Web. The massive amount of digital traces that people have left in the microblogging sphere, creates new possibilities and poses challenges for user modeling and personalization. How can microblogging activities be exploited to infer...
doctoral thesis 2013
Searched for: subject%3A%22twitter%22
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