scholarly journals Identifying Communities within the Smart-Cultural City of Singapore: A Network Analysis Approach

Smart Cities ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Aurel von Richthofen ◽  
Ludovica Tomarchio ◽  
Alberto Costa
Keyword(s):  
Cultural Production ◽  
Smart Cities ◽  
Short Review ◽  
Human Interaction ◽  
Social Media Data ◽  
Creative Cities ◽  
Urban Scenario ◽  
Smart Technologies ◽  
The Relationship ◽  
Media Data

This article investigates the intersection and convergence of Smart Cities and Creative Cities that emerge with the availability of social media data, technology—smart technologies—and the shifting mode of cultural production—creative economies—forming a new nexus of Smart-Cultural Cities. It starts with a short review of literature surrounding Smart Cities and Creative Cities to establish domain criteria on Smart-Cultural Cities for Singapore. The article draws on a database of actors from authorities, industries, academia, and artists established by the research community in Singapore. Actors and domains are described using bipartite graphs and then analyzed by solving a deterministic optimization problem rather than computing a statistic. The result of this analysis reveals new clusters, nodes, and connections in the actor–domain network of the Singapore Smart-Cultural Cities discourse. The identified clusters are called “Urban Scenario Makers”, “Digital Cultural Transformers” and “Public Engagers”. The method gives significant insights on the number of clusters, the composition of each cluster, and the relationship between clusters that serve to locate and describe a next iteration of the Smart City that focusses on human interaction, culture, and technology.

An examination of the factors contributing to participation in online social platforms

2016 ◽  
Vol 68 (6) ◽  
pp. 793-818 ◽  
Author(s):  
Jenny Bronstein ◽  
Tali Gazit ◽  
Oren Perez ◽  
Judit Bar-Ilan ◽  
Noa Aharony ◽  
...  
Keyword(s):  
Personality Traits ◽  
Information Exchange ◽  
Political Influence ◽  
Online Participation ◽  
Social Media Data ◽  
Content Type ◽  
Internet Users ◽  
The Social ◽  
The Relationship ◽  
Media Data

Purpose The purpose of this paper is to examine participation in online social platforms consisting of information exchange, social network interactions, and political deliberation. Despite the proven benefits of online participation, the majority of internet users read social media data but do not directly contribute, a phenomenon called lurking. Design/methodology/approach A survey was administered electronically to 507 participants and consisted of ten sections in a questionnaire to gather data on the relationship between online participation and the following variables: anonymity, social value orientation, motivations, and participation in offline activities, as well as the internet’s political influence and personality traits. Findings Findings show that users with high levels of participation also identify themselves, report higher levels of extroversion, openness, and activity outside the internet, the motivations being an intermediary variable in the relationship between the variables value. Originality/value The study shows that participation in online social platforms is not only related to personality traits, but they are impacted by the nature of the motivations that drive them to participate in the particular social platform, as well as by the interest toward the specific topic, or the type or nature of the social group with whom they are communicating.

The Role of Smart Technologies to Support Citizen Engagement and Decision Making

2018 ◽  
Vol 14 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Gabriela Viale Pereira ◽  
Gregor Eibl ◽  
Constantinos Stylianou ◽  
Gilberto Martínez ◽  
Haris Neophytou ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Real Life ◽  
Digital Technologies ◽  
Fuzzy Cognitive Maps ◽  
Data Driven ◽  
Social Media Data ◽  
Life Problems ◽  
Smart Technologies ◽  
Media Data

Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.

scholarly journals Contrapuntal Connectedness: Analysing Relations Between Social Media Data and Ethnography in Digital Migration Studies

2021 ◽  
pp. 53-85
Author(s):  
Marie Sandberg ◽  
Nina Grønlykke Mollerup ◽  
Luca Rossi
Keyword(s):  
Social Media ◽  
Syrian Refugees ◽  
Migration Studies ◽  
Social Data ◽  
Social Media Data ◽  
Ethnographic Fieldwork ◽  
Migration Research ◽  
Facebook Pages ◽  
The Relationship ◽  
Media Data

AbstractThis chapter presents a rethinking of the relationship between ethnography and so-called big social data as being comparable to those between a sum and its parts (Strathern 1991/2004). Taking cue from Tim Ingold’s one world anthropology (2018) the chapter argues that relations between ethnography and social media data can be established as contrapuntal. That is, the types of material are understood as different, yet fundamentally interconnected. The chapter explores and qualifies this affinity with the aim of identifying potentials and further questions for digital migration research. The chapter is based on ethnographic fieldwork carried out with Syrian refugees and solidarians in the Danish–Swedish borderlands in 2018–2019 as well as data collected for 2011–2018 from 200 public Facebook pages run by solidarity organisations, NGOs, and informal refugee welcome and solidarity groups.

Smart Stadium as a Laboratory of Innovation: Technology, Sport, and Datafied Normalization of the Fans

2020 ◽  
pp. 216747952094357
Author(s):  
Chamee Yang ◽  
C. L. Cole
Keyword(s):  
Big Data ◽  
Smart Cities ◽  
The United States ◽  
New Techniques ◽  
Critical Studies ◽  
Social Ordering ◽  
Definition Of ◽  
Smart Technologies ◽  
Contemporary Development ◽  
The Relationship

This article addresses the relationship between the contemporary development of the “smart” stadium and changing norms of innovation in sports. Given the evolving forms of smart technologies blurring the boundaries between the actual and mediated domains of sports, an approach that grapples with the broad sociotechnical dynamics within and around sport is necessary. Drawing from critical studies on big data, innovation, and smart cities, this study adopts a sociotechnical perspective to approach Arizona State University’s Sun Devil Stadium, known as one of the first smart stadiums in the United States. This study examines how the smart stadium employs a range of techniques and technologies to engage with and influence broader sociocultural themes in society: the prevalent imperative of innovation and the hyperdigitalization of sport through which bodies in space are becoming knowable and governable in new ways. We conclude that the smart stadium, articulated both literally and figuratively as a “living laboratory of innovation,” appropriates sport as a useful motif to affect broader cultural debates around big data and spatializes new techniques of social ordering through a parametric and processual definition of normalcy.

The impact of social media on human interaction in an organisation based on real-time social media data

2019 ◽  
Vol 4 (3) ◽  
pp. 260
Author(s):  
Sharifah Sakinah Syed Ahmad ◽  
Anis Naseerah Binti Shaik Osman ◽  
Halizah Basiron
Keyword(s):  
Social Media ◽  
Real Time ◽  
Human Interaction ◽  
Social Media Data ◽  
The Impact ◽  
Media Data

scholarly journals Success in an Online Giving Day: The Role of Social Media in Fundraising

2019 ◽  
Vol 49 (1) ◽  
pp. 74-92 ◽  
Author(s):  
Abhishek Bhati ◽  
Diarmuid McDonnell
Keyword(s):  
Social Media ◽  
Organizational Factors ◽  
Network Size ◽  
Audience Engagement ◽  
Social Media Data ◽  
Size Number ◽  
Social Media Platforms ◽  
The Relationship ◽  
Media Data

Social media platforms offer nonprofits considerable potential for crafting, supporting, and executing successful fundraising campaigns. How impactful are attempts by these organizations to utilize social media to support fundraising activities associated with online Giving Days? We address this question by testing a number of hypotheses of the effectiveness of using Facebook for fundraising purposes by all 704 nonprofits participating in Omaha Gives 2015. Using linked administrative and social media data, we find that fundraising success—as measured by the number of donors and value of donations—is positively associated with a nonprofit’s Facebook network size (number of likes), activity (number of posts), and audience engagement (number of shares), as well as net effects of organizational factors including budget size, age, and program service area. These results provide important new empirical insights into the relationship between social media utilization and fundraising success of nonprofits.

The Role of Smart Technologies to Support Citizen Engagement and Decision Making

2022 ◽  
pp. 687-703
Author(s):  
Gabriela Viale Pereira ◽  
Gregor Eibl ◽  
Constantinos Stylianou ◽  
Gilberto Martínez ◽  
Haris Neophytou ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Real Life ◽  
Digital Technologies ◽  
Data Driven ◽  
Social Media Data ◽  
Life Problems ◽  
Smart Technologies ◽  
High Level ◽  
Media Data

Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.

Social Media Relationships

2021 ◽  
Author(s):  
Umoloyouvwe Ejiro Onomake
Keyword(s):  
Social Media ◽  
Participant Observation ◽  
Multiple Relationships ◽  
Social Media Data ◽  
For Profit ◽  
Social Media Platforms ◽  
Media Research ◽  
Use Of Social Media ◽  
The Relationship ◽  
Media Data

Ethnography has been used to research various people and topics online, primarily using netnography and digital ethnography. Researchers and businesses employ digital ethnographic methods to access an assortment of social media platforms in order to learn about social media users. Researchers seek to understand relationships between social media users and organizations from both academic and practitioner perspectives. These organizations run the gamut from for-profit businesses, to nonprofits, nongovernmental organizations (NGOs), and government agencies. The specific focus here is on social media research as it relates to businesses. Organizations make use of social media in a variety of ways, but chiefly to market to clients and to gather information on followers; the latter of which, in turn, helps them understand their target markets. While this social media data is both quantitative and qualitative in nature, the emphasis here centers on qualitative data, particularly the ways businesses interact with social media users. While some firms mainly use older forms of one-way marketing that solely focus on disseminating information, other firms increasingly seek ways to interact with customers and co-create products with clients. Additionally, social media users are creating their own communities, formed due to a shared interest in a brand. Companies strive to learn more about their customers through these groups. Influencers also play a role in the relationship between organizations and social media users by linking their own followerships to products and brands. In turn, influencers develop their own relationships with organizations through sponsorships, thus becoming brands themselves. Influencers risk losing their followerships when followers perceive them as no longer accessible or authentic. This change in perception can occur for a variety of reasons, including when followers believe that an influencer has prioritized brand alignment over building connections with followers. Due to multiple relationships with different brands and their followers, influencers must negotiate the ambiguity and evolving nature of their role. As social media and digital spaces develop, so must the tools used by anthropologists. Anthropologists should remain open to incorporating hallmarks of ethnographic research such as fieldnotes, participant observation, and focus groups in new ways and alongside tools from other disciplines, including market and UX (user experience) research. The divide between practitioners and academics is blurring. Anthropologists can solve client issues while contributing their voices to larger anthropological and societal discussions.

scholarly journals The scale effect of landscape variables on landscape experiences: A multi-scale spatial analysis of social media data in an urban nature park context

2021 ◽  
Author(s):  
Ping Chang ◽  
Anton Stahl Olafsson
Keyword(s):  
Social Media ◽  
Scale Effects ◽  
Relative Magnitude ◽  
Social Media Data ◽  
Landscape Variables ◽  
Recreational Services ◽  
Nature Park ◽  
Nature Parks ◽  
The Relationship ◽  
Media Data

Abstract Context The roles of landscape variables with regard to the recreational services provided by nature parks have been widely studied. However, the potential scale effects of the relationships of landscape features and attributes to categorized nature experiences have not been adequately studied from an experimental perspective. Objectives This article demonstrates multiscale geographically weighted regression (MGWR) as a new method to quantify the relationship between experiences and landscape variables and aims to answer the following questions: 1) Which dimensions of landscape experiences can be interpreted from geocoded social media data, and what landscape variables are associated with specific dimensions of experience? 2) At what spatial scale and relative magnitude can landscape variables mediate landscape experiences? Methods Social media data (Flickr photos) from Amager Nature Park were categorized into different dimensions of landscape experience. Estimated parameter surfaces resulting from the MGWR were generated to show the patterns of the relationship between the landscape variables and the categorized experiences. Results All considered landscape variables were identified as relating to certain landscape experiences (nature, animals, scenery, engagement, and culture). Scale effects were observed in all relationships. This highlights the realities of context- and place-specific relationships and the limited applicability of simple approaches that assume relationships to be spatially stationary. Conclusions The spatial effect of landscape variables on landscape experiences was clarified and demonstrated to be important for understanding the spatial patterns of landscape experiences. The demonstrated modelling method may be used to further the study of the value of natural landscapes to human wellbeing.

scholarly journals Quantifying Social Media’s Political Space: Estimating Ideology from Publicly Revealed Preferences on Facebook

2015 ◽  
Vol 109 (1) ◽  
pp. 62-78 ◽  
Author(s):  
ROBERT BOND ◽  
SOLOMON MESSING
Keyword(s):  
Social Media ◽  
Social Relationships ◽  
Political Behavior ◽  
Revealed Preferences ◽  
Social Media Data ◽  
Individual Level ◽  
Political Views ◽  
Scaling Process ◽  
The Relationship ◽  
Media Data

We demonstrate that social media data represent a useful resource for testing models of legislative and individual-level political behavior and attitudes. First, we develop a model to estimate the ideology of politicians and their supporters using social media data on individual citizens’ endorsements of political figures. Our measure allows us to place politicians and more than 6 million citizens who are active in social media on the same metric. We validate the ideological estimates that result from the scaling process by showing they correlate highly with existing measures of ideology from Congress, and with individual-level self-reported political views. Finally, we use these measures to study the relationship between ideology and age, social relationships and ideology, and the relationship between friend ideology and turnout.

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