See Ya!

The renunciation of U.S. citizenship is a non-trivial action, with far-reaching implications, for the individual, his / her social group, and even for the nation. While several U.S. government agencies collect information about this phenomenon, little actual data are publicly shared and mostly only through the U.S. Internal Revenue Service. Social media platforms—Twitter, Facebook, Flickr, Wikipedia, and Reddit (among others)—offer some insights about American renunciation of citizenship. From this targeted data, it is possible to design and collate a custom-made spatial-based dictionary (to run on LIWC2015) in order to automate the analysis of textual data about this phenomenon. This paper describes this process of creating a custom spatial-based dictionary, methods for pilot-testing the dictionary's efficacy (with “test” social media data sets, with experts, and with discovered insights about the target phenomenon), fresh space-based insights about American renunciation of citizenship, and future research directions.

2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.


2017 ◽  
Vol 1 (1) ◽  
pp. 29-37
Author(s):  
Yuan Wang ◽  

Social media has drawn growing attention from crisis communication researchers. The purpose of this study was to provide an overview of the current paradigm of research on social media and crisis communication, to identify the research gaps, and to help scholars understand future research directions in this area. The current study examined the trends and patterns of social media-related crisis communication research published in 11 communication and public relations journals from 2009 to 2017. More specifically, it focused on the trends and characteristics of research topics, theories and theoretical models, crisis types, social media platforms, sample types, and research methods. This study found that public relations-focused journals published most of the social media-related crisis communication articles. Most studies adopted theories or theoretical models and examined the role of social media in crisis communication, which focused on product tampering and general crisis. Additionally, a considerable number of studies employed content analysis techniques that used social media content as the sample. This study discussed the trends of social media-related crisis communication research and the directions for future research. Keywords: Crisis communication, social media, research trend, public relations, communication.


Author(s):  
Mary-Kate Hickman ◽  
Wilson Ozuem ◽  
Jummy Okoya

Gender is a concept that has evolved with time, varying its meaning and relevance regularly. Today, it manifests across many facets of life. Whilst theories of gender began as a device to categorise individuals and groups, these have evolved into a broad, complex system of identification to describe the uniqueness of the individual. Central to the discussion of gender is the question of how we can understand human conduct and experience in technologically laden marketing environments. Drawing on extant theories, the current chapter examines how the technologically mediated marketing environment (TMME) is increasingly challenging fashion and luxury marketers to reconsider their marketing communications strategies, particularly with the impact of evolving Internet technologies such as social media platforms. The concluding section offers further agenda for future research.


Author(s):  
Günther Sagl ◽  
Bernd Resch

Mobile and sensor-rich devices such as today's smartphones are increasingly leveraged as ubiquitous mobile geo-sensors that are able to sense their immediate surroundings on site in high spatial and temporal detail. Using those devices, the activity or mobility behavior of mobile phone users is being “sensed” since they leave behind digital traces of their whereabouts when using the mobile network—voluntarily or not. Additionally, people themselves can act as human sensors by providing subjective, geo-referenced “observations” in the form of individual perceptions of, e.g., the weather, thereby complementing calibrated measurements from technical geo-sensor networks. Together with other user-generated and increasingly geo-referenced data and information from a variety of Web 2.0 and social media platforms, this results in vast volumes of geo-data that digitally reflect the dynamics of human behavior (e.g., mobility in urban spaces) and environmental phenomena (e.g., the weather). In this article, the authors provide an overview of recent literature, influencing scholars, and future research directions in the context of using mobile phones for social and environmental geo-sensing in order to provide additional insights into the space-time behavior of the underlying geographic phenomena.


2018 ◽  
pp. 1967-2006
Author(s):  
Mary-Kate Hickman ◽  
Wilson Ozuem ◽  
Jummy Okoya

Gender is a concept that has evolved with time, varying its meaning and relevance regularly. Today, it manifests across many facets of life. Whilst theories of gender began as a device to categorise individuals and groups, these have evolved into a broad, complex system of identification to describe the uniqueness of the individual. Central to the discussion of gender is the question of how we can understand human conduct and experience in technologically laden marketing environments. Drawing on extant theories, the current chapter examines how the technologically mediated marketing environment (TMME) is increasingly challenging fashion and luxury marketers to reconsider their marketing communications strategies, particularly with the impact of evolving Internet technologies such as social media platforms. The concluding section offers further agenda for future research.


2019 ◽  
pp. 135-174 ◽  
Author(s):  
Mary-Kate Hickman ◽  
Wilson Ozuem ◽  
Jummy Okoya

Gender is a concept that has evolved with time, varying its meaning and relevance regularly. Today, it manifests across many facets of life. Whilst theories of gender began as a device to categorise individuals and groups, these have evolved into a broad, complex system of identification to describe the uniqueness of the individual. Central to the discussion of gender is the question of how we can understand human conduct and experience in technologically laden marketing environments. Drawing on extant theories, the current chapter examines how the technologically mediated marketing environment (TMME) is increasingly challenging fashion and luxury marketers to reconsider their marketing communications strategies, particularly with the impact of evolving Internet technologies such as social media platforms. The concluding section offers further agenda for future research.


JMIR Nursing ◽  
10.2196/35274 ◽  
2022 ◽  
Vol 5 (1) ◽  
pp. e35274
Author(s):  
Bhavya Yalamanchili ◽  
Lorie Donelle ◽  
Leo-Felix Jurado ◽  
Joseph Fera ◽  
Corey H Basch

Background During a time of high stress and decreased social interaction, nurses have turned to social media platforms like TikTok as an outlet for expression, entertainment, and communication. Objective The purpose of this cross-sectional content analysis study is to describe the content of videos with the hashtag #covidnurse on TikTok, which included 100 videos in the English language. Methods At the time of the study, this hashtag had 116.9 million views. Each video was coded for content-related to what nurses encountered and were feeling during the COVID-19 pandemic. Results Combined, the 100 videos sampled received 47,056,700 views; 76,856 comments; and 5,996,676 likes. There were 4 content categories that appeared in a majority (>50) of the videos: 83 showed the individual as a nurse, 72 showed the individual in professional attire, 58 mentioned/suggested stress, 55 used music, and 53 mentioned/suggested frustration. Those that mentioned stress and those that mentioned frustration received less than 50% of the total views (n=21,726,800, 46.17% and n=16,326,300, 34.69%, respectively). Although not a majority, 49 of the 100 videos mentioned the importance of nursing. These videos garnered 37.41% (n=17,606,000) of the total views, 34.82% (n=26,759) of the total comments, and 23.85% (n=1,430,213) of the total likes. So, despite nearly half of the total videos mentioning how important nurses are, these videos received less than half of the total views, comments, and likes. Conclusions Social media and increasingly video-related online messaging such as TikTok are important platforms for social networking, social support, entertainment, and education on diverse topics, including health in general and COVID-19 specifically. This presents an opportunity for future research to assess the utility of the TikTok platform for meaningful engagement and health communication on important public health issues.


2021 ◽  
Author(s):  
Bhavya Yalamanchili ◽  
Lorie Donelle ◽  
Leo-Felix Jurado ◽  
Joseph Fera ◽  
Corey H Basch

BACKGROUND During a time of high stress and decreased social interaction, nurses have turned to social media platforms like TikTok as an outlet for expression, entertainment, and communication. OBJECTIVE The purpose of this cross-sectional content analysis study is to describe the content of videos with the hashtag #covidnurse on TikTok, which included 100 videos in the English language. METHODS At the time of the study, this hashtag had 116.9 million views. Each video was coded for content-related to what nurses encountered and were feeling during the COVID-19 pandemic. RESULTS Combined, the 100 videos sampled received 47,056,700 views; 76,856 comments; and 5,996,676 likes. There were 4 content categories that appeared in a majority (>50) of the videos: 83 showed the individual as a nurse, 72 showed the individual in professional attire, 58 mentioned/suggested stress, 55 used music, and 53 mentioned/suggested frustration. Those that mentioned stress and those that mentioned frustration received less than 50% of the total views (n=21,726,800, 46.17% and n=16,326,300, 34.69%, respectively). Although not a majority, 49 of the 100 videos mentioned the importance of nursing. These videos garnered 37.41% (n=17,606,000) of the total views, 34.82% (n=26,759) of the total comments, and 23.85% (n=1,430,213) of the total likes. So, despite nearly half of the total videos mentioning how important nurses are, these videos received less than half of the total views, comments, and likes. CONCLUSIONS Social media and increasingly video-related online messaging such as TikTok are important platforms for social networking, social support, entertainment, and education on diverse topics, including health in general and COVID-19 specifically. This presents an opportunity for future research to assess the utility of the TikTok platform for meaningful engagement and health communication on important public health issues.


Author(s):  
M. Usman Ashraf

This paper provides an overview of the evolving field of emotion detection and identifies the current generation of methods of emotion detection from social media platforms as well as the challenges. The challenges in the field of current emotion detection are discussed in detail and potential alternatives are proposed to enhance the ability to detect emotions in real-life systems that emphasize interactions between humans and computers as well as advertisements, recommendation systems, and medical fields such as computer-based therapy. These solutions include the extraction of semantic analysis keywords, and ontology design with the evaluation of emotions. There are multiple models and classifications of emotions such as Ekman’s model (Happy, Anger, Sad, Disgust,Fear, Surprise), and Plutchik’s model (anger-fear, surprise-anticipation, joy-sadness, joy-sadness). Further, a systematic review of publications on textual emotions detection from social media platforms, state-of-the-art methods, and existing challenges presented. Finally, we conclude with some recommendations based on critical analysis of existing techniques and determine future research directions presented at last.


2005 ◽  
Vol 39 (3) ◽  
pp. 27-35 ◽  
Author(s):  
Jennifer Wozencraft ◽  
David Millar

The state-of-the-art in airborne coastal mapping and charting technology is the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) system. CHARTS is the U.S. Naval Oceanographic Office program name for an Optech, Inc. SHOALS 3000T20-E. CHARTS comprises a 3 kHz bathymetric lidar, a 20 kHz topographic lidar, a DuncanTech DT4000 high-resolution digital camera, and a Compact Airborne Spectrographic Imager(CASI)-1500. The integrated sensor suite has the capability to collect lidar bathymetry, lidar topography, RGB imagery, and hyperspectral imagery. Beyond these products, the diffuse attenuation coefficient and seafloor reflectance at multiple wavelengths may be estimated by combining information from the bathymetric lidar waveform and the hyperspectral imagery.The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) specified development of the CHARTS system and currently manages its operations for Department of Defense customers. CHARTS data collection rate of 21 square nautical miles per survey hour enables rapid completion of large nautical charting work for the U.S. Naval Oceanographic Office. The U.S. Army Corps of Engineers National Coastal Mapping Program uses CHARTS to collect engineering scale data for the entire U.S. coastline. JALBTCX continues to lead development in the field of airborne lidar and integrated technologies for coastal mapping and charting. Future research efforts include mining the individual data sets collected by CHARTS for information beyond elevation, combining data sets to further identify physical and environmental characteristics of the coastal zone, and integrating additional complementary sensors with CHARTS.


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