Up-and-Coming or Down-and-Out? Social Media Popularity as an Indicator of Neighborhood Change

2021 ◽  
pp. 0739456X2199844
Author(s):  
Constantine E. Kontokosta ◽  
Lance Freeman ◽  
Yuan Lai
Keyword(s):  
New York ◽  
Social Media ◽  
Neighborhood Change ◽  
Data Accessibility ◽  
Equity Issues ◽  
Neighborhood Studies ◽  
Real Estate Prices ◽  
Use Of Social Media ◽  
Twitter Activity ◽  
Media Data

By quantifying Twitter activity and sentiment for each of 274 neighborhood areas in New York City, this study introduces the Neighborhood Popularity Index and correlates changes in the index with real estate prices, a common measure of neighborhood change. Results show that social media provide both a near-real-time indicator of shifting attitudes toward neighborhoods and an early warning measure of future changes in neighborhood composition and demand. Although social media data provide an important complement to traditional data sources, the use of social media for neighborhood studies raises concerns regarding data accessibility and equity issues in data representativeness and bias.

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 Megachurch Pastor Twitter Activity: An Analysis of Rick Warren and Andy Stanley, Two of America’s Social Pastors

2014 ◽  
Vol 3 (2) ◽  
pp. 1-32
Author(s):  
Susan Codone
Keyword(s):  
Social Media ◽  
Church Leaders ◽  
Future Studies ◽  
Ministry Leadership ◽  
The Social ◽  
Mega Church ◽  
Use Of Social Media ◽  
Twitter Activity ◽  
Ministry Leaders ◽  
Community Church

Mainstream church leaders have taken to Twitter as a platform for spreading their message and promoting their churches. This study examines two American mega-church pastors, Rick Warren of Saddleback Church in Orange County, California, and Andy Stanley of North Point Community Church in Atlanta, Georgia. The main objectives of this study are to analyse the Twitter activity of both pastors in an attempt to categorize their tweets according to research-based guidelines and to suggest new categories for ministry leaders who use social media. The study also tracks the Twitter activity over the life of the @rickwarren and @andystanley accounts. The study shows intriguing applications of Twitter by these two pastors and makes recommendations for those in ministry leadership who wish to use Twitter as a broadcast platform for their personal and ministry messages. Because research in ministerial use of social media is young, future studies are needed to determine if these recommendations can apply to the social media activity of other ministry leaders and to explore how ministry leaders across the religious spectrum are using social media.

scholarly journals Anatomy of a Protest: Spatial Information, Social Media, and Urban Space

2020 ◽  
Vol 6 (1) ◽  
pp. 205630511989732
Author(s):  
Alireza Karduni ◽  
Eric Sauda
Keyword(s):  
Social Media ◽  
Public Space ◽  
Urban Space ◽  
Language Processing ◽  
Local Community ◽  
Spatial Information ◽  
Social Media Data ◽  
Public Events ◽  
Use Of Social Media ◽  
Media Data

Black Lives Matter, like many modern movements in the age of information, makes significant use of social media as well as public space to demand justice. In this article, we study the protests in response to the shooting of Keith Lamont Scott by police in Charlotte, North Carolina, on September 2016. Our goal is to measure the significance of urban space within the virtual and physical network of protesters. Using a mixed-methods approach, we identify and study urban space and social media generated by these protests. We conducted interviews with protesters who were among the first to join the Keith Lamont Scott shooting demonstrations. From the interviews, we identify places that were significant in our interviewees’ narratives. Using a combination of natural language processing and social network analysis, we analyze social media data related to the Charlotte protests retrieved from Twitter. We found that social media, local community, and public space work together to organize and motivate protests and that public events such as protests cause a discernible increase in social media activity. Finally, we find that there are two distinct communities who engage social media in different ways; one group involved with social media, local community and urban space, and a second group connected almost exclusively through social media.

scholarly journals Infodemia and COVID-19: a text mining analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
W De Caro
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Text Mining ◽  
Real Time ◽  
Public Perception ◽  
Health Authorities ◽  
Health Agencies ◽  
Use Of Social Media ◽  
Twitter Activity

Abstract Introduction Covid-19 epidemic lead a huge use of social media to comment and spread information from the widest sources. Infodemia looks at excessive amount of information circulating, which makes it difficult to orientate communities on a given topic due to the difficulty of identifying reliable sources. Using text mining analysis it is possible to identify what drives public conversation and impact of Covid-19. Methods Public perceptions in emergencies is traditionally measured with surveys. However, to have a global sight of the pandemia, Twitter represents a powerful tool which gives real-time monitoring of public perception. The study aimed to: 1) monitor the use of the terms “Covid-19” or “Coronarivus” over time; and 2) to conduct a specific text and sentiment analysis. Results Between January 10 and May 8, 2020, over 600 million tweets were retrieved. Of those 600.000 tweets were randomly selected, coded, and analyzed. About 10% of cases were identified as misinformation. Public figures, experts in public health, and virologists represent the most popular sources in comparison to the official government and health agencies. There is a positive correlation between Twitter activity peaks and COVID-19 infection peaks. Text mining analysis was carried out, as well as a content analysis, also in order to identify changing emotions and sentiments during time. This analysis, particularly during the lockdown, clearly shows that participation on social media can potentially have an effect on building social capital and social support. Conclusions This study confirms that using social media to conduct infodemic studies is an important area of development in public health arena. COVID-19 tweets were primarily used to disseminate information from credible sources, but were also a source of opinions, emotion and experiences. Tweets can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns. Key messages Social media is crucial for health information. Infodemia as new way for study health.

scholarly journals Inferring Activities from Social Media Data

2017 ◽  
Vol 2666 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Emmanouil Chaniotakis ◽  
Constantinos Antoniou ◽  
Georgia Aifadopoulou ◽  
Loukas Dimitriou
Keyword(s):  
Social Media ◽  
Classification Performance ◽  
Classification Algorithms ◽  
Social Media Data ◽  
Use Of Social Media ◽  
Definition Of ◽  
The Individual ◽  
Transportation Research ◽  
Direct Use ◽  
Media Data

Social media produce an unprecedented amount of information that can be extracted and used in transportation research, with one of the most promising areas being the inference of individuals’ activities. Whereas most studies in the literature focus on the direct use of social media data, this study presents an efficient framework that follows a user-centric approach for the inference of users’ activities from social media data. The framework was applied to data from Twitter, combined with inferred data from Foursquare that contains information about the type of location visited. The users’ data were then classified with a density-based spatial classification algorithm that allows for the definition of commonly visited locations, and the individual-based data were augmented with the known activity definition from Foursquare. On the basis of the known activities and the Twitter text, a set of classification algorithms was applied for the inference of activities. The results are discussed according to the types of activities recognized and the classification performance. The classification results allow for a wide application of the framework in the exploration of the activity space of individuals.

scholarly journals Journalists’ Use of Social Media to Infer Public Opinion: The citizens’ perspective

2021 ◽  
Author(s):  
Elizabeth Dubois ◽  
Anatoliy Gruzd ◽  
Jenna Jacobson
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Online Survey ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Traditional Approaches ◽  
Journalistic Practice ◽  
Media Data

Journalists increasingly use social media data to infer and report public opinion by quoting social media posts, identifying trending topics, and reporting general sentiment. In contrast to traditional approaches of inferring public opinion, citizens are often unaware of how their publicly available social media data is being used and how public opinion is constructed using social media analytics. In this exploratory study based on a census-weighted online survey of Canadian adults (N=1,500), we examine citizens’ perceptions of journalistic use of social media data. We demonstrate that: (1) people find it more appropriate for journalists to use aggregate social media data rather than personally identifiable data; (2) people who use more social media are more likely to positively perceive journalistic use of social media data to infer public opinion; and (3) the frequency of political posting is positively related to acceptance of this emerging journalistic practice, which suggests some citizens want to be heard publicly on social media while others do not. We provide recommendations for journalists on the ethical use of social media data and social media platforms on opt-in functionality.

scholarly journals Connecting the Urological Community : The #UroSoMe Experience

2019 ◽  
Vol 2 (2) ◽  
pp. e20-e29 ◽  
Author(s):  
Kalyan Gudaru ◽  
Leonardo Tortolero Blanco ◽  
Daniele Castellani ◽  
Hegel Trujillo Santamaria ◽  
Marcela Pelayo-Nieto ◽  
...  
Keyword(s):  
Social Media ◽  
Working Group ◽  
Efficient Manner ◽  
The Social ◽  
Social Media Platforms ◽  
Twitter Account ◽  
Group Members ◽  
Twitter Users ◽  
Use Of Social Media ◽  
Twitter Activity

Background and Objectives There is an increasing use of social media amongst the urological community. However, it is difficult to identify urological data on various social media platforms in an efficient manner. We proposed a hashtag, #UroSoMe, to be used when posting urology-related content in the social media platforms. The objectives of this article are to describe how #UroSoMe was developed, and to report the data of the first month of #UroSoMe.   Material and Methods The hashtag, #UroSoMe, was introduced to the urological community. The #UroSoMe working group was formed, and the members actively invited and encouraged people to use the hashtag #UroSoMe when posting urology-related contents. After the #UroSoMe (@so_uro) platform on twitter had grown to more than 300 users, the first live event of online case discussion, i.e. #LiveCaseDiscussions, was conducted. A prospective observational study of the hashtag #UroSoMe Twitter activity during the first month of its usage from 14 December 2018 to 13 January 2019 was evaluated. Outcome measures included number of users, number of tweets, user location, top tweeters, top hashtags used and interactions. Analysis was performed using NodeXL (Social Media Research Foundation; California, USA; https://www.smrfoundation.org/nodexl/), Symplur (https:// www.symplur.com) and Twitonomy (https://www.twitonomy.com).   Results The first month of #UroSoMe activity documented 1373 tweets/retweets by 1008 tweeters with 17698 mentions and 1003 replies. The #LiveCaseDiscussions was able to achieve a potential reach of 2,033,352 Twitter users. The top tweets mainly included cases presented by #UroSoMe working group members during #LiveCaseDiscussions. The twitonomy map showed participation from 214 geographical locations. The major groups of participants using the hashtag #UroSoMe were ‘Researcher/Academic’ and ‘Doctor’. The twitter account of #UroSoMe (@so_uro) has now grown to more than 1000 followers.   Conclusions Social media is an excellent platform for interaction amongst the urological community. The results demonstrated that #UroSoMe was able to achieve wide spread engagement from all over the world.

Reclaiming Australia: Indigenous Hip-Hop group A.B. Original’s use of Twitter

2018 ◽  
Vol 169 (1) ◽  
pp. 84-93 ◽  
Author(s):  
Suzi Hutchings ◽  
Dianne Rodger
Keyword(s):  
Social Media ◽  
Indigenous Peoples ◽  
Thematic Analysis ◽  
Hip Hop ◽  
Research Practice ◽  
Indigenous Australian ◽  
Indigenous Knowledges ◽  
Theoretical Perspectives ◽  
Use Of Social Media ◽  
Twitter Activity

This article explores how Indigenous-Australian Hip-Hop group A.B. Original use Twitter to promote their music and more broadly, as a conduit for political expression, protest and the celebration of Indigenous identities. We use Indigenous knowledges and Indigenous standpoint theories to extend on the current literature that examines the use of social media by Indigenous peoples. In decolonising research, these theoretical perspectives position the Indigenous participant at the centre of research practice where knowledge is created. Indigenous knowledges therefore become the paradigm through which social interaction is understood and described. Our thematic analysis of A.B. Original’s public Twitter activity from November 2016 to January 2017 demonstrates that the combination of Hip-Hop and social media are powerful forces utilised by young Indigenous people in Australia to discuss issues impacting their everyday lives and to make meaningful statements on contemporary Aboriginality and sovereignty.

From Reactive to Proactive Use of Social Media in Emergency Response

2016 ◽  
pp. 236-252 ◽  
Author(s):  
Kees Boersma ◽  
Dominique Diks ◽  
Julie Ferguson ◽  
Jeroen Wolbers
Keyword(s):  
Social Media ◽  
Emergency Response ◽  
Learning Strategy ◽  
Pilot Project ◽  
Project Planning ◽  
Web Based ◽  
New Information ◽  
Use Of Social Media ◽  
The One ◽  
Media Data

This chapter examines the introduction and implementation of the pilot project Twitcident in an emergency response room setting. Twitcident is a web-based system for filtering, searching and analyzing data on real-world incidents or crises. Social media data is seen as important for emergency response operations: it can be used as an ‘early warning monitoring system' to detect social unrest, and for improving common operational pictures (COPs). This chapter shows that the expectations on the functioning of the tool were not fully met: first it was hard for the response room professionals to make sense of the data and second, the management did not develop a proper project planning. The recommendations are twofold. On the one hand, the professionals who work with Twitcident must invest in developing new information management routines. On the other hand, the response room management needs to create a much more inclusive project learning strategy.

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