What social media data should i use in my research?: A comparative analysis of twitter, youtube, reddit, and the new york times comments

2016 ◽  
Vol 53 (1) ◽  
pp. 1-6
Author(s):  
Dongho Choi ◽  
Ziad Matni ◽  
Chirag Shah
Keyword(s):  
New York ◽  
Social Media ◽  
Comparative Analysis ◽  
New York Times ◽  
Social Media Data ◽  
The New York Times ◽  
Media Data

News Borrowing Revisited: A 50-Year Perspective

2018 ◽  
Vol 95 (4) ◽  
pp. 909-929 ◽  
Author(s):  
Daniel Riffe ◽  
Seoyeon Kim ◽  
Meghan R. Sobel
Keyword(s):  
New York ◽  
Social Media ◽  
News Coverage ◽  
New York Times ◽  
Press Freedom ◽  
International News ◽  
Quarter Century ◽  
Social Media Data ◽  
Local Media ◽  
Media Data

Analyzing 50 years’ of New York Times international news coverage ( N = 20,765), this study extends research on the “shrinking international news hole,” levels of press freedom, agent (e.g., Times correspondent), and “borrowed” news—information gleaned from local media, including social media. Data show a recent, growing role for social media and an increase in news borrowing, while foreign coverage declined; slight resurgence in foreign coverage during the last quarter-century; reduced wire copy use but increased correspondent news borrowing; and increased coverage of but decreased news borrowing in news from non-free nations. Borrowing from social media was greatest in non-free nations.

scholarly journals Real-time spatio-temporal event detection on geotagged social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yasmeen George ◽  
Shanika Karunasekera ◽  
Aaron Harwood ◽  
Kwan Hui Lim
Keyword(s):  
New York ◽  
Social Media ◽  
Event Detection ◽  
Detection System ◽  
Time And Space ◽  
Social Media Data ◽  
Event Time ◽  
Spatio Temporal ◽  
Geographical Space ◽  
Media Data

AbstractA key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are useful for early warning for accident, protest, election or breaking news. However, neither the list of events nor the resolution of both event time and space is fixed or known beforehand. In this work, we propose an online spatio-temporal event detection system using social media that is able to detect events at different time and space resolutions. First, to address the challenge related to the unknown spatial resolution of events, a quad-tree method is exploited in order to split the geographical space into multiscale regions based on the density of social media data. Then, a statistical unsupervised approach is performed that involves Poisson distribution and a smoothing method for highlighting regions with unexpected density of social posts. Further, event duration is precisely estimated by merging events happening in the same region at consecutive time intervals. A post processing stage is introduced to filter out events that are spam, fake or wrong. Finally, we incorporate simple semantics by using social media entities to assess the integrity, and accuracy of detected events. The proposed method is evaluated using different social media datasets: Twitter and Flickr for different cities: Melbourne, London, Paris and New York. To verify the effectiveness of the proposed method, we compare our results with two baseline algorithms based on fixed split of geographical space and clustering method. For performance evaluation, we manually compute recall and precision. We also propose a new quality measure named strength index, which automatically measures how accurate the reported event is.

scholarly journals GOVERNANCE OF THE FACEBOOK PRIVACY CRISIS

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lawrence J. Trautman
Keyword(s):  
United States ◽  
New York ◽  
Social Media ◽  
Audit Committee ◽  
New York Times ◽  
The United States ◽  
Front Page ◽  
Select Committee ◽  
The New York Times ◽  
Social Media Platforms

In November 2018, The New York Times ran a front-page story describing how Facebook concealed knowledge and disclosure of Russian-linked activity and exploitation resulting in Kremlin led disruption of the 2016 and 2018 U.S. elections, through the use of global hate campaigns and propaganda warfare. By mid-December 2018, it became clear that the Russian efforts leading up to the 2016 U.S. elections were much more extensive than previously thought. Two studies conducted for the United States Senate Select Committee on Intelligence (SSCI), by: (1) Oxford University’s Computational Propaganda Project and Graphika; and (2) New Knowledge, provide considerable new information and analysis about the Russian Internet Research Agency (IRA) influence operations targeting American citizens.By early 2019 it became apparent that a number of influential and successful high growth social media platforms had been used by nation states for propaganda purposes. Over two years earlier, Russia was called out by the U.S. intelligence community for their meddling with the 2016 American presidential elections. The extent to which prominent social media platforms have been used, either willingly or without their knowledge, by foreign powers continues to be investigated as this Article goes to press. Reporting by The New York Times suggests that it wasn’t until the Facebook board meeting held September 6, 2017 that board audit committee chairman, Erskin Bowles, became aware of Facebook’s internal awareness of the extent to which Russian operatives had utilized the Facebook and Instagram platforms for influence campaigns in the United States. As this Article goes to press, the degree to which the allure of advertising revenues blinded Facebook to their complicit role in offering the highest bidder access to Facebook users is not yet fully known. This Article can not be a complete chapter in the corporate governance challenge of managing, monitoring, and oversight of individual privacy issues and content integrity on prominent social media platforms. The full extent of Facebook’s experience is just now becoming known, with new revelations yet to come. All interested parties: Facebook users; shareholders; the board of directors at Facebook; government regulatory agencies such as the Federal Trade Commission (FTC) and Securities and Exchange Commission (SEC); and Congress must now figure out what has transpired and what to do about it. These and other revelations have resulted in a crisis for Facebook. American democracy has been and continues to be under attack. This article contributes to the literature by providing background and an account of what is known to date and posits recommendations for corrective action.

Reciprocal nature of social capital in Facebook: an analysis of tagging activity

2017 ◽  
Vol 41 (6) ◽  
pp. 826-839 ◽  
Author(s):  
Taehyun Ha ◽  
Seunghee Han ◽  
Sangwon Lee ◽  
Jang Hyun Kim
Keyword(s):  
Social Capital ◽  
New York ◽  
Social Media ◽  
Design Methodology ◽  
New York Times ◽  
Capital Formation ◽  
The New York Times ◽  
Content Type

Purpose The purpose of this paper is to investigate how we can understand social media interactions better by explicating the process of social capital formation on Facebook from a reciprocity perspective. Design/methodology/approach This study observed users who got tagged on Facebook by his/her friends and how s/he responded to that tagging activity. In total, 4,666 posts and 418,580 comments from The New York Times Facebook page were collected for the observation. Findings A majority (77.87 percent) of users who were tagged by their friends showed reactions to their tagging. In detail, 33.63, 44.20, and 0.04 percent of users responded by comments, “Likes”, and “Shares”, respectively. In total, 90.11 percent of the comments and 98.58 percent of the “Likes” were expressed on a comment or sub-comment, and only 9.89 percent of the comments and 1.42 percent of the “Likes” were expressed on a post. This indicates that a high percentage of users respond to their tagging notification, and they prefer dialogic responses to non-dialogic responses. Originality/value Previous studies have focused on photo tagging activity in social media, but user tagging activity had not been studied enough. This study examines the effects of Facebook tagging activity from a reciprocal perspective.

scholarly journals Fashion informatics of the Big 4 Fashion Weeks using topic modeling and sentiment analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yeong-Hyeon Choi ◽  
Seungjoo Yoon ◽  
Bin Xuan ◽  
Sang-Yong Tom Lee ◽  
Kyu-Hye Lee
Keyword(s):  
New York ◽  
Social Media ◽  
Network Analysis ◽  
Sentiment Analysis ◽  
Topic Modeling ◽  
Semantic Network ◽  
Semantic Network Analysis ◽  
Social Media Data ◽  
Big 4 ◽  
Media Data

AbstractThis study used several informatics techniques to analyze consumer-driven social media data from four cities (Paris, Milan, New York, and London) during the 2019 Fall/Winter (F/W) Fashion Week. Analyzing keywords using a semantic network analysis method revealed the main characteristics of the collections, celebrities, influencers, fashion items, fashion brands, and designers connected with the four fashion weeks. Using topic modeling and a sentiment analysis, this study confirmed that brands that embodied similar themes in terms of topics and had positive sentimental reactions were also most frequently mentioned by the consumers. A semantic network analysis of the tweets showed that social media, influencers, fashion brands, designers, and words related to sustainability and ethics were mentioned in all four cities. In our topic modeling, the classification of the keywords into three topics based on the brand collection’s themes provided the most accurate model. To identify the sentimental evaluation of brands participating in the 2019 F/W Fashion Week, we analyzed the consumers’ sentiments through positive, neutral, and negative reactions. This quantitative analysis of consumer-generated social media data through this study provides insight into useful information enabling fashion brands to improve their marketing strategies.

scholarly journals TECHNOLIBERAL PARTICIPATION: BLACK LIVES MATTER AND INSTAGRAM SLIDESHOWS

2021 ◽  
Author(s):  
Matthew Salzano
Keyword(s):  
New York ◽  
Social Media ◽  
Case Studies ◽  
New York Times ◽  
Access To Information ◽  
Digital Activism ◽  
The New York Times ◽  
Black Lives Matter ◽  
Analyze Case ◽  
Significant Attention

After the murder of George Floyd in May 2020, Black Lives Matter protests surged around the globe. Amid COVID-19, activism on social media flourished. On Instagram, use of the ten-image carousel as an informative slideshow akin to a PowerPoint presentation gained significant attention: The New York Times highlighted their “effort to democratize access to information." In this paper, I rhetorically analyze case studies to illustrate how Instagram slideshows facilitated deliberation about participation. I argue that these posts reveal a tension in platformed digital activism: as digital templates broaden access to participation, technoliberal ideology constrains activist judgment.

Identifying urban crowds using geo-located Social media data: a Twitter experiment in New York City

2016 ◽  
Vol 48 (2) ◽  
pp. 287-308 ◽  
Author(s):  
Mohamed ben Khalifa ◽  
Rebeca P. Díaz Redondo ◽  
Ana Fernández Vilas ◽  
Sandra Servia Rodríguez
Keyword(s):  
New York ◽  
Social Media ◽  
New York City ◽  
York City ◽  
Social Media Data ◽  
Media Data

scholarly journals Noha Alghamdi translates Rupi Kaur

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Noha Alghamdi
Keyword(s):  
New York ◽  
Social Media ◽  
New York Times ◽  
The Other ◽  
The New York Times ◽  
Arabic Translation ◽  
Poetry Reading ◽  
Poetic Texts ◽  
Vast Range ◽  
The Revolution

As a poetry lover, I have noticed that poetry has become more accessible nowadays than ever. With the revolution of social media, I need only a smartphone to fulfill my poetry reading desire. Platforms such as Instagram and Twitter on top of the other platforms help me to read vast range of poetic texts by multiple poets. Posting poetry on Instagram is known as ‘instapoetry’. Rupi Kaur is considered the pioneer of this literary activism, having than 3.5 million followers on Instagram. Kaur has published two books which remained on the New York Times bestselling list for more than a year. Kaur's debut book also has been translated into more than 30 languages. Interestingly, no Arabic translation has yet been made of either of her books. Therefore, I have translated some of her poems into Arabic.

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