scholarly journals CROWD4EMS: A CROWDSOURCING PLATFORM FOR GATHERING AND GEOLOCATING SOCIAL MEDIA CONTENT IN DISASTER RESPONSE

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 331-340
Author(s):  
A. Ravi Shankar ◽  
J. L. Fernandez-Marquez ◽  
B. Pernici ◽  
G. Scalia ◽  
M. R. Mondardini ◽  
...  
Keyword(s):  
Social Media ◽  
Disaster Response ◽  
Task Force ◽  
Media Content ◽  
Data Set ◽  
Emergency Responders ◽  
Social Media Networks ◽  
Combining Data ◽  
Automatic Methods ◽  
Using Data

<p><strong>Abstract.</strong> Increase in access to mobile phone devices and social media networks has changed the way people report and respond to disasters. Community-driven initiatives such as Stand By Task Force (SBTF) or GISCorps have shown great potential by crowdsourcing the acquisition, analysis, and geolocation of social media data for disaster responders. These initiatives face two main challenges: (1) most of social media content such as photos and videos are not geolocated, thus preventing the information to be used by emergency responders, and (2) they lack tools to manage volunteers contributions and aggregate them in order to ensure high quality and reliable results. This paper illustrates the use of a crowdsourcing platform that combines automatic methods for gathering information from social media and crowdsourcing techniques, in order to manage and aggregate volunteers contributions. High precision geolocation is achieved by combining data mining techniques for estimating the location of photos and videos from social media, and crowdsourcing for the validation and/or improvement of the estimated location. The evaluation of the proposed approach is carried out using data related to the Amatrice Earthquake in 2016, coming from Flickr, Twitter and Youtube. A common data set is analyzed and geolocated by both the volunteers using the proposed platform and a group of experts. Data quality and data reliability is assessed by comparing volunteers versus experts results. Final results are shown in a web map service providing a global view of the information social media provided about the Amatrice Earthquake event.</p>

Using Data Analytics to Create a Digital Strategy That Drives Engagement and Views on Social Media

2020 ◽  
Vol 9 (S1) ◽  
pp. S9-S12
Author(s):  
David Pierce ◽  
Geoffre Sherman
Keyword(s):  
Social Media ◽  
Digital Literacy ◽  
Large Data ◽  
Sport Marketing ◽  
Data Set ◽  
Content Creation ◽  
New Strategy ◽  
Sports Organization ◽  
Using Data ◽  
Creativity And Innovation

Students are placed into a consulting role with SPT, a sport marketing agency hired to help a sports organization create a new strategy for video content creation on social media. Students are provided a large data set in Tableau with analytics that hold the key to increasing the team’s engagement and views of videos on social media. Can your students find the insights in the data to drive a new video strategy for social media? Can they turn those insights into a creative content plan that will engage and win fans in the future? Students will have the opportunity to demonstrate creativity and innovation, data-based decision making, and digital literacy.

Use of social media and e-Government in disasters: 2016 Louisiana floods case study

2017 ◽  
Vol 15 (6) ◽  
pp. 391 ◽  
Author(s):  
Daniel Bosch, MPA
Keyword(s):  
Social Media ◽  
Disaster Response ◽  
Government Agencies ◽  
Social Media Networks ◽  
Wide Range ◽  
Primary Means ◽  
Service Disruption ◽  
Use Of Social Media ◽  
Survey Responses

The case study analyzes the use of social media as a component of disaster response during and after the Louisiana Floods of August 2016. The study analyzes the survey responses of thirty social media users on a series of questions regarding social networks they regularly used during the flooding events, the extent to which users contacted government agencies via those networks, other uses of social media connected with the disaster, and whether social media served as a primary means of communication during cell carrier service interruptions. The results of this study show that there was a correlation between service disruption and increased use of social media as a means of communication. Additionally, the survey showed that social media networks have been utilized for a wide range of purposes during disasters, including locating family and loved ones, requesting help, disseminating information, and psychosocial interaction. Finally, a majority of respondents did not use social media to contact government agencies, and a number of respondents rated federal government engagement through social media as either dissatisfactory or were neutral on the question.

scholarly journals Ranking Significant Features for Increasing Engagement on Social Media via Regression Analysis

2021 ◽  
Author(s):  
Thiago R. C. de Lima
Keyword(s):  
Social Media ◽  
Regression Models ◽  
Model Fit ◽  
Short Paper ◽  
Media Content ◽  
Linear Regression Models ◽  
Data Set ◽  
Social Media Data ◽  
Unseen Data ◽  
Media Data

Social media comprises of platforms that surpassed their initial goal to connect people just for the sake of socializing and currently provide powerful tools for businesses to reach millions of views worldwide, increasing their chances of gaining new customers. This short paper utilizes the Buzz in Social Media data set available at UCI Machine Learning Repository for identifying the attributes in social media content that have the highest correlation to the amount of repercussion it gained. To achieve such result, several linear regression models are constructed, then ranked based on their respective model fit measure (R-squared) and accuracy when tested against unseen data.

scholarly journals When do party supporters abandon the party leader? The intraparty conflict of the Alternative for Germany

2019 ◽  
pp. 135406881985717
Author(s):  
Kai Jäger
Keyword(s):  
Social Media ◽  
Party Leader ◽  
Opinion Formation ◽  
Data Set ◽  
Organizational Reform ◽  
Social Media Networks ◽  
News Sources ◽  
Leadership Turnover ◽  
Intraparty Conflict ◽  
Alternative For Germany

Drawing on a unique panel data set of supporters of the Alternative for Germany (AfD), the study shows that programmatic differences between supporters of Frauke Petry and Bernd Lucke cannot sufficiently explain the crucial intraparty leadership contest of July 2015. Programmatic differences were minor in 2013 but became pronounced over time. Politically active supporters were disaffected with the old moderate leadership of Bernd Lucke, who pursued an organizational reform to reduce the influence of the rank-and-file. Social media also played a key role for the leadership turnover, as alternative news sources on social media were only politicized by the intraparty opposition. It is conceivable that the structure of social media networks influences opinion formation processes and internal affairs of right-wing populist parties in general, as their supporters tend to have low trust in mainstream news.

scholarly journals Characteristics of Social Media Content and Their Effects on Restaurant Patrons

2021 ◽  
Vol 13 (2) ◽  
pp. 907
Author(s):  
June-Hyuk Kwon ◽  
Sally Kim ◽  
Yong-Ki Lee ◽  
Kisang Ryu
Keyword(s):  
Social Media ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Brand Attitude ◽  
Equation Modeling ◽  
Media Content ◽  
Social Media Networks ◽  
Mediating Role ◽  
One Year ◽  
Content Characteristics

The purpose of this study is to examine four characteristics of social media content and their effects on restaurant patrons. The characteristics we examine in our study are authenticity, consensus, usefulness, and aesthetics. More specifically, the study investigates how content characteristics influence consumers’ cognition-based and affect-based attitudes toward the message, which, in turn, influence brand attitude and behavioral intentions. Data were collected from 376 respondents who had frequented restaurants on a regular basis and used social media networks for at least one year. Structural equation modeling with AMOS 22.0 was used to analyze the data. The most important content characteristic that influences both cognition-based attitude and affect-based attitude is usefulness. All three other content characteristics (authenticity, consensus, and aesthetics) are also found to have a significant impact on either cognition-based or affect-based attitudes. While both cognition-based and affect-based attitudes have a significant effect on brand attitude, the effect of affect-based attitude is fully mediated by brand attitude in influencing behavioral intentions. The mediating role of brand attitude is also examined.

scholarly journals Use of Social Media to Seek and Provide Help in Hurricanes Florence and Michael

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1187-1218
Author(s):  
Morgan Faye DiCarlo ◽  
Emily Zechman Berglund
Keyword(s):  
Social Media ◽  
Disaster Response ◽  
Help Seeking ◽  
Information Technologies ◽  
Perceived Behavioral Control ◽  
Regression Equations ◽  
Statistical Regression ◽  
Social Media Networks ◽  
Seeking Help ◽  
Use Of Social Media

During hazardous events, communities can use existing social media networks to share information in real time and initiate a local disaster response. This research conducted a web-based survey to explore two behaviors around the use of social media during hurricanes: seeking help and responding to help requests. Through the survey, we sampled 434 individuals across several counties affected by 2018 hurricanes Florence and Michael, which were both designated by the National Oceanic and Atmospheric Administration as billion-dollar weather disasters. The survey questions collected data about demographics, social media use habits, perceptions towards social media, hurricane damages, and actions taken during a hurricane to seek and provide help. The Theory of Planned Behavior (TPB) was used to conceptualize and frame parameters that affect intentions and behaviors regarding the use of social media during hurricanes to seek and provide help. Survey responses are analyzed using statistical regression to evaluate hypotheses about the influence of factors on seeking help and responding to help requests. Regression analyses indicate that attitude and perceived behavioral control predict intention to access social media during a hurricane, partially supporting the TPB. Intention and experiencing urgent damages predict help-seeking behaviors using social media. Posting frequency to social media under normal conditions and the number of help requests seen during the event predict help-responding behaviors. Linear regression equations governing intention and behavior were parameterized using survey results. The factors underlying social media behavior during hurricanes as identified in this research provide insight for understanding how smart information technologies, such as personal devices and social media networks, support community self-sufficiency and hazard resilience.

scholarly journals Infodemic Pathways: Evaluating the Role That Traditional and Social Media Play in Cross-National Information Transfer

2021 ◽  
Vol 3 ◽  
Author(s):  
Aengus Bridgman ◽  
Eric Merkley ◽  
Oleg Zhilin ◽  
Peter John Loewen ◽  
Taylor Owen ◽  
...  
Keyword(s):  
Social Media ◽  
Information Transfer ◽  
Data Set ◽  
Social Media Networks ◽  
Massive Data Set ◽  
Information Spread ◽  
Twitter Users ◽  
Novel Coronavirus ◽  
National Information ◽  
Cross National

The COVID-19 pandemic has occurred alongside a worldwide infodemic where unprecedented levels of misinformation have contributed to widespread misconceptions about the novel coronavirus. Conspiracy theories, poorly sourced medical advice, and information trivializing the virus have ignored national borders and spread quickly. This information spread has occurred despite generally strong preferences for domestic national media and social media networks that tend to be geographically bounded. How, then, is (mis)information crossing borders so rapidly? Using social media and survey data, we evaluate the extent to which consumption and propagation patterns of domestic and international traditional news and social media can help inform theorizing about cross-national information spread. In a detailed case study of Canada, we employ a large multi-wave survey and a massive data set of Canadian Twitter users. We show that the majority of misinformation circulating on Twitter that is shared by Canadian accounts is retweeted from U.S.-based accounts. Moreover, exposure to U.S.-based media outlets is associated with COVID-19 misperceptions and increased exposure to U.S.-based information on Twitter is associated with an increased likelihood to post misinformation. We thus theorize and empirically identify a key globalizing infodemic pathway: disregard for national origin of social media posting.

Value co-creation on social media

2018 ◽  
Vol 30 (4) ◽  
pp. 2153-2174 ◽  
Author(s):  
Shan Lin ◽  
Shuai Yang ◽  
Minghui Ma ◽  
Jian Huang
Keyword(s):  
Social Media ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Advertising Effectiveness ◽  
Data Set ◽  
Content Type ◽  
Display Advertising ◽  
Social Media Networks ◽  
Brand Engagement ◽  
Social Media Platforms

Purpose In recent years, hotels in China have been interested in leveraging social media platforms to facilitate interactions with and among consumers. Such brand engagement efforts on social media networks are believed to promote brands through co-creation of consumer experiences and values. This study was conducted in the context of Chinese hotels. The paper aims to identify two forms of brand engagement via social media platforms – consumer-initiated engagement and firm-initiated engagement – and to examine their effects on hotels’ display advertising effectiveness. Design/methodology/approach This study collected a comprehensive data set. First, the authors collected display advertisement data from two hotel chains in China. Second, the authors gathered the two hotels’ engagement data from Weibo. A generalized linear mixed model was used in data analysis. Findings The findings of the study indicate that both forms of brand engagement on social media network sites positively influence display advertising effectiveness. Moreover, for a strong brand, consumer-initiated engagement is more influential in increasing display advertising effectiveness; however, for a weak brand, firm-initiated engagement gains more clicks and conversions from advertisements. Practical implications As hotels in China continue to leverage online media platforms to reach, engage with and co-create value with potential and existing consumers, this study provides managers with insight as to how they can achieve higher advertising effectiveness by engaging with consumers on a consistent basis on social media. Originality/value This study mainly contributes to recent increasing research on engagement and value co-creation by providing a lens through which to assess the relationship between brand engagement via social media networks and online display advertising effectiveness.

scholarly journals Twitter content analysis of the Australian bushfires disaster 2019-2020: futures implications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gregory Willson ◽  
Violetta Wilk ◽  
Ruth Sibson ◽  
Ashlee Morgan
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Qualitative Data ◽  
Political Action ◽  
Tourism Industry ◽  
Media Content ◽  
Data Set ◽  
Content Type ◽  
Positive Sentiment ◽  
Negative Sentiment

Purpose This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry. Design/methodology/approach A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that mentioned the bushfires and wildlife are explored. Findings The devastation of wildlife through the Australian bushfire disaster elicited emotionally charged Twitter content from both Australian and overseas users. Positive sentiment focused on offering support to areas impacted by wildlife devastation. Negative sentiment concentrated on linking the Australian bushfires disaster to global discussions surrounding the climate emergency, and a perceived lack of political action. Originality/value Despite the intensity of media attention directed towards the Australian bushfires disaster 2019–2020, there has been little scholarly research exploring social media content specifically focused on the wildlife devastation and its association with, and implications for, the tourism industry.

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