scholarly journals Analysis of Twitter Users’ Sharing of Official New York Storm Response Messages

Medicine 2 0 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. e1 ◽  
Author(s):  
Nicholas Genes ◽  
Michael Chary ◽  
Kevin Chason
Keyword(s):  
New York ◽  
Storm Response ◽  
Twitter Users

scholarly journals Use of #SaludTues Tweetchats for the Dissemination of Culturally Relevant Information on Latino Health Equity: Exploratory Case Study (Preprint)

2020 ◽  
Author(s):  
Amelie G Ramirez ◽  
Rosalie P Aguilar ◽  
Amanda Merck ◽  
Cliff Despres ◽  
Pramod Sukumaran ◽  
...  
Keyword(s):  
Health Care ◽  
New York ◽  
Collective Efficacy ◽  
Health Equity ◽  
Culturally Relevant ◽  
Adult Population ◽  
Relevant Information ◽  
Latino Health ◽  
Web Traffic ◽  
Twitter Users

BACKGROUND Latinx people comprise 18% of the US adult population and a large share of youth and continue to experience inequities that perpetuate health disparities. To engage Latinx people in advocacy for health equity based on this population’s heavy share of smartphone, social media, and Twitter users, <i>Salud America!</i> launched the #SaludTues Tweetchat series. In this paper, we explore the use of #SaludTues to promote advocacy for Latinx health equity. OBJECTIVE This study aims to understand how #SaludTues Tweetchats are used to promote dissemination of culturally relevant information on social determinants of health, to determine whether tweetchats serve to drive web traffic to the <i>Salud America!</i> website, and to understand who participates in #SaludTues Tweetchats and what we can learn about the participants. We also aim to share our own experiences and present a step-by-step guide of how tweetchats are planned, developed, promoted, and executed. METHODS We explored tweetchat data collected between 2014 and 2018 using Symplur and Google Analytics to identify groups of stakeholders and web traffic. Network analysis and mapping tools were also used to derive insights from this series of chats. RESULTS We conducted 187 chats with 24,609 reported users, 177,466 tweets, and more than 1.87 billion impressions using the hashtag #SaludTues during this span, demonstrating effective dissemination of and exposure to culturally relevant information. Traffic to the <i>Salud America!</i> website was higher on Tuesdays than any other day of the week, suggesting that #SaludTues Tweetchats acted effectively as a website traffic–driving tool. Most participants came from advocacy organizations (165/1000, 16.5%) and other health care–related organizations (162/1000, 16.2%), whereas others were unknown users (147/1000, 14.7%) and individual users outside of the health care sector (117/1000, 11.7%). The majority of participants were located in Texas, California, New York, and Florida, all states with high Latinx populations. CONCLUSIONS Carefully planned, culturally relevant tweetchats such as #SaludTues can be a powerful tool for public health practitioners and advocates to engage audiences on Twitter around health issues, advocacy, and policy solutions for Latino health equity. Further information is needed to determine the effect that #SaludTues Tweetchats have on self- and collective efficacy for advocacy in the area of Latino health equity. CLINICALTRIAL

scholarly journals Public Opinions towards COVID-19 in California and New York on Twitter

2020 ◽  
Author(s):  
Xueting Wang ◽  
Canruo Zou ◽  
Zidian Xie ◽  
Dongmei Li
Keyword(s):  
New York ◽  
Social Media ◽  
Topic Modeling ◽  
New York State ◽  
The United States ◽  
Public Opinions ◽  
Online Social Media ◽  
Twitter Users ◽  
Negative Sentiment ◽  
Over Time

Background: With the pandemic of COVID-19 and the release of related policies, discussions about the COVID-19 are widespread online. Social media becomes a reliable source for understanding public opinions toward this virus outbreak. Objective: This study aims to explore public opinions toward COVID-19 on social media by comparing the differences in sentiment changes and discussed topics between California and New York in the United States. Methods: A dataset with COVID-19-related Twitter posts was collected from March 5, 2020 to April 2, 2020 using Twitter streaming API. After removing any posts unrelated to COVID-19, as well as posts that contain promotion and commercial information, two individual datasets were created based on the geolocation tags with tweets, one containing tweets from California state and the other from New York state. Sentiment analysis was conducted to obtain the sentiment score for each COVID-19 tweet. Topic modeling was applied to identify top topics related to COVID-19. Results: While the number of COVID-19 cases increased more rapidly in New York than in California in March 2020, the number of tweets posted has a similar trend over time in both states. COVID-19 tweets from California had more negative sentiment scores than New York. There were some fluctuations in sentiment scores in both states over time, which might correlate with the policy changes and the severity of COVID-19 pandemic. The topic modeling results showed that the popular topics in both California and New York states are similar, with "protective measures" as the most prevalent topic associated with COVID-19 in both states. Conclusions: Twitter users from California had more negative sentiment scores towards COVID-19 than Twitter users from New York. The prevalent topics about COVID-19 discussed in both states were similar with some slight differences.

Public Reactions to the New York State Policy on Flavored E-Cigarettes on Twitter: Observational Study (Preprint)

2020 ◽  
Author(s):  
Li Sun ◽  
Xinyi Lu ◽  
Zidian Xie ◽  
Dongmei Li
Keyword(s):  
New York ◽  
Sentiment Analysis ◽  
State Policy ◽  
Topic Modeling ◽  
Electronic Cigarettes ◽  
Public Attitudes ◽  
New York State ◽  
York State ◽  
Before And After ◽  
Twitter Users

BACKGROUND Flavored electronic cigarettes (e-cigarettes) have become popular in recent years, especially among youth and young adults. To address the epidemic of e-cigarettes, New York State approved a ban on sales of most flavored vaping products other than tobacco and menthol flavors on September 17, 2019. OBJECTIVE This study aimed to examine the public responses on social media to the policy on flavored e-cigarettes in New York State. METHODS Twitter posts (tweets) related to e-cigarettes and the New York State policy on flavored e-cigarettes were collected using Twitter streaming API from June 2019 to December 2019. Tweets from New York State, and other states that did not have a flavored e-cigarettes policy were extracted. Sentiment analysis was applied to analyze the proportion of negative and positive tweets about e-cigarettes or the flavor policy. Topic modeling was applied to e-cigarettes related datasets to identify the most frequent topics before and after the announcement of the New York State policy on flavored e-cigarettes. RESULTS Our results showed that average number of tweets related to e-cigarettes and the New York State policy on flavored e-cigarettes increased in both New York State and other states after the NY flavor policy was announced. Sentiment analysis revealed that after the announcement of the New York State flavor policy, in both New York State and other states, the proportion of negative tweets on e-cigarettes increased, from 34.07% to 44.58% and from 32.48% to 44.40% respectively, while positive tweets decreased significantly, from 39.03% to 32.86% and from 42.78% to 33.93% respectively. The majority of tweets about the New York State flavor policy were negative in both New York State (from 88.78% to 83.46%) and other states (from 78.43% to 81.54%) while New York State had a higher proportion of negative tweets than other states. Topic modeling results demonstrated that teenage vaping and health problems were the most discussed topic associated with e-cigarettes. CONCLUSIONS Public attitudes toward e-cigarettes became more negative on Twitter after the New York State announced the policy on flavored e-cigarettes. Twitter users in other states that did not have such a policy on flavored e-cigarettes paid close attention to New York State flavor policy. This study provides some valuable information about the potential impact of the flavored e-cigarettes policy in New York State on public attitudes towards the flavored e-cigarettes.

Social dynamics of Twitter usage in London, Paris, and New York City

First Monday ◽  
2014 ◽  
Author(s):  
Muhammad Adnan ◽  
Paul A. Longley ◽  
Shariq M. Khan
Keyword(s):  
New York ◽  
Social Media ◽  
New York City ◽  
Ethnic Identity ◽  
York City ◽  
Social Dynamics ◽  
Activity Patterns ◽  
Twitter Users ◽  
And Gender ◽  
Use Of Social Media

The penetration and use of social media services differs from city to city. This paper investigates the social dynamics of Twitter social media usage in three ethnically diverse cities — London, Paris, and New York City. We present a spatial analysis of Tweeting activity in the three cities, broken down by ethnicity and gender. We model the ethnic identity of Twitter users using their paired forenames and surnames. The geo–tagged Tweets provide an insight into the geography of their activity patterns across the three cities. The gender of each Twitter user is identified through classification of forenames, suggesting that, irrespective of the ethnic identity, the majority of Twitter users are male. Taken together, the results present a window on the activity patterns of different ethnic groups.

scholarly journals Characterizing storm response and recovery using the beach change envelope: Fire Island, New York

Geomorphology ◽  
2018 ◽  
Vol 300 ◽  
pp. 189-202 ◽  
Author(s):  
Owen T. Brenner ◽  
Erika E. Lentz ◽  
Cheryl J. Hapke ◽  
Rachel E. Henderson ◽  
Kat E. Wilson ◽  
...  
Keyword(s):  
New York ◽  
Storm Response ◽  
Fire Island ◽  
Response And Recovery

scholarly journals Space-Time Dependence of Emotions on Twitter after a Natural Disaster

2021 ◽  
Vol 18 (10) ◽  
pp. 5292
Author(s):  
Sonja I. Garske ◽  
Suzanne Elayan ◽  
Martin Sykora ◽  
Tamar Edry ◽  
Linus B. Grabenhenrich ◽  
...  
Keyword(s):  
New York ◽  
Socioeconomic Status ◽  
Large Scale ◽  
Emotional Reactions ◽  
Emotional Expressions ◽  
Spatial Clusters ◽  
Census Tracts ◽  
Population Mental Health ◽  
Twitter Users ◽  
Global And Local

Natural disasters can have significant consequences for population mental health. Using a digital spatial epidemiologic approach, this study documents emotional changes over space and time in the context of a large-scale disaster. Our aims were to (a) explore the spatial distribution of negative emotional expressions of Twitter users before, during, and after Superstorm Sandy in New York City (NYC) in 2012 and (b) examine potential correlations between socioeconomic status and infrastructural damage with negative emotional expressions across NYC census tracts over time. A total of 984,311 geo-referenced tweets with negative basic emotions (anger, disgust, fear, sadness, shame) were collected and assigned to the census tracts within NYC boroughs between 8 October and 18 November 2012. Global and local univariate and bivariate Moran’s I statistics were used to analyze the data. We found local spatial clusters of all negative emotions over all disaster periods. Socioeconomic status and infrastructural damage were predominantly correlated with disgust, fear, and shame post-disaster. We identified spatial clusters of emotional reactions during and in the aftermath of a large-scale disaster that could help provide guidance about where immediate and long-term relief measures are needed the most, if transferred to similar events and on comparable data worldwide.

scholarly journals Influences of SNS (Social Network Service) Uses and Musical Consumption on City Branding: A Focus on Broadway, New York and the West End, London

2020 ◽  
Vol 12 (9) ◽  
pp. 3856 ◽  
Author(s):  
Jongwon Won ◽  
Jong Yoon Lee ◽  
Jong Woo Jun
Keyword(s):  
New York ◽  
Social Network ◽  
Sensation Seeking ◽  
City Branding ◽  
The West ◽  
Network Service ◽  
Social Network Service ◽  
City Brand ◽  
Managerial Implications ◽  
Twitter Users

This study explored the role the musical industry plays in creating city brand images. The results showed that younger consumers were found to have more favorable visit intentions in New York and London due to their image as musical cities. Instagram users wanted to visit New York, but Twitter users had negative visit intentions in New York. Sensation-seeking orientation toward musicals influenced visit intention in New York. Broadway familiarity was linked to visit intention. In London, only sensation-seeking orientation influenced visit intention. Uses of SNS did not influence London visit intention and West End familiarity was not related to London visit intention. These results could provide academic and managerial implications for city branding.

scholarly journals Covid-19 Twitter Sentiments Across the United States in August 2020

2021 ◽  
Author(s):  
Umesh R. Hodeghatta ◽  
Sanath V. Haritsa
Keyword(s):  
United States ◽  
New York ◽  
The United States ◽  
Learning Approach ◽  
Twitter Data ◽  
Novel Approach ◽  
Machine Learning Approach ◽  
Twitter Users ◽  
Sentiment Score ◽  
Death Cases

COVID-19 has drastically affected the entire nation. This study involved collecting tweets and analyzing the COVID tweets for August 2020. The aim was to understand whether people have expressed sentiments related to COVID-19 across all the states of the United States and find any correlation between the sentiment tweets and the number of actual cases reported. Around 400000 COVID-19 Twitter data was collected for August 2020 from the primary Twitter database. A simple NLP-based unigram sentiment analyser, a novel approach different from the traditional machine learning approach, was adopted to identify twitter sentiments. The results indicate that tweets related to COVID demonstrate the two types of sentiments, one related to the deaths and the other about the COVID symptoms. Furthermore, the results show that the sentiments for each category vary from State to State. For example, states of New York, California, Texas are higher tweets sentiments regarding expressing death sentiment, and states of New York, California, Nevada, are higher regarding sentiments of expressing COVID-19 symptoms with an accuracy of 83%. As a part of the research, a new sentiment scorecard was created to provide a sentiment score based on the sentiments of the tweets expressed to the actual reported death cases. The sentiment scores for the ‘symptoms’ class are higher for Maryland, New Jersey, and Oregon, whereas sentiment scores for the 'death' class are higher for Virginia, Delaware, and Hawaii. These sentiment scores indicate that the Twitter users of these states are actively tweeting about symptoms and deaths even though the actual reported cases are less in these states. The analysis results also found no or little correlation between the COVID Tweets and the number of COVID death cases reported across all the states.

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