Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps

Rettberg, Jill Walker

doi:10.1057/s41599-020-0495-3

Cited by 42 publications

(23 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the smart city construction, the city through the Internet of things and the Internet to the massive data collection and transmission, through the cloud computing to the massive data storage and calculation, cloud computing is like the human brain cells, responsible for the storage and processing of information, and the network connecting the cloud computing resources is equivalent to the neural network between the brain cells, responsible for the transfer and exchange of data and information [ 15 ]. Because they all have a demand for storage and processing of massive data, cloud computing is widely used in smart cities, such as transportation, communication, water and electricity, medical care, education, culture, and many other fields.…”

Section: Analysis Of the Construction Of The App Application Platform Of Public Information Products Of Urban Big Media In The Context Ofmentioning

confidence: 99%

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Maia

2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of the SICAS model, a model of enterprise and user information interaction characteristics in the new media environment is constructed, and social network analysis and semantic analysis methods are used to research enterprise and user information interaction characteristics in the new media environment. The point degree centrality index is used to analyze forwarding and being forwarded behavior in information interaction, the intermediate centrality index is used to analyze following and being followed behavior, the proximity centrality index is used to analyze commenting and being commented behavior, the feature vector centrality index is used to analyze the cohesiveness of information interaction behavior, and the semantic keyword word is used to analyze the semantic keyword word in the research process. The results of the study show that the constructed model can analyze the information interaction behaviors of enterprises and users in the new media environment. The research results show that the constructed model can systematically analyze the information interaction characteristics, and the information interaction between enterprises and users in the new media environment is more timely, more effective, and more satisfying to users. The current situation of the construction of the public information platform and the problems existing in the construction are proposed to achieve the standardization of the construction of the public information platform in the context of smart city, the construction of the platform supervision system, and the strengthening of information security publicity and talent training. To offer a suitable platform and provide efficient solutions for the development of a public information service platform in the city, enhance the professional quality of research papers and dissertations, as well as the solutions’ operability. More public services will be provided in a highly connected way across the boundaries between government, enterprises, society, and citizens and even form a public service market that accepts autonomous choices and becomes an important part of the digital economy, thus finding a good balance between economic development and social welfare.

show abstract

Section: Analysis Of the Construction Of The App Application Platform Of Public Information Products Of Urban Big Media In The Context Ofmentioning

confidence: 99%

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Maia

2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…Analogously, Mitchell et al (2019) propose 'model cards' to describe ML models and their behaviour across different populations that might be subject to a given model along with its intended use. Similarly drawing on Haraway (1988), Rettberg (2020) identifies how data is situated and viewed through disembodied positions in the aggregation and display of personal data in mobile applications.…”

Section: Previous Workmentioning

confidence: 99%

Disembodied Machine Learning: On the Illusion of Objectivity in NLP

Waseem¹,

Lulz²,

Bingel³

et al. 2021

Preprint

View full text Add to dashboard Cite

Machine Learning seeks to identify and encode bodies of knowledge within provided datasets. However, data encodes subjective content, which determines the possible outcomes of the models trained on it. Because such subjectivity enables marginalisation of parts of society, it is termed (social) 'bias' and sought to be removed. In this paper, we contextualise this discourse of bias in the ML community against the subjective choices in the development process. Through a consideration of how choices in data and model development construct subjectivity, or biases that are represented in a model, we argue that addressing and mitigating biases is near-impossible. This is because both data and ML models are objects for which meaning is made in each step of the development pipeline, from data selection over annotation to model training and analysis. Accordingly, we find the prevalent discourse of bias limiting in its ability to address social marginalisation. We recommend to be conscientious of this, and to accept that de-biasing methods only correct for a fraction of biases.1 Bodies of data are amalgamated entities that exist by virtue of a strict separation from the material bodies they are derived from.

show abstract

“…(Cunha, 2020) Rettberg defined new possibilities of data analysis in the field of social media. (Rettberg, 2020) Leading authors Yuand and Fang emphasize that the right visualization requires the right technology, as does groundswell data analysis. Technology interconnection is a necessary pillar.…”

Section: Technologymentioning

confidence: 99%

Possibilities of collecting, analysing and visualizing groundswell communication data in a global environment

Kubovics

Zaušková

2021

SHS Web Conf.

View full text Add to dashboard Cite

Research background: The groundswell is an undoubted threat, but also a potential of companies. It is important for business entities with a global scope to monitor potential customers and consumers when behaving in a digital environment, because there is a possibility of creating a so-called groundswell, which can have global adverse effects on the company's sales and reputation. Only if we continuously monitor and evaluate all aspects, including the activity of the groundswell, can we predict and intervene at the right time. Purpose of the article: The aim of the paper is to map the possibilities of data collection, analysis, and visualization, which were created in the digital media environment using the groundswell. The partial goals are in the study of theoretical background and analysis of the possibilities of data collection, research, and evaluation. Methods: We used the methods of thematic analysis for the theoretical framework of the paper. To explore the possibilities, we used the method of content analysis of individual tools and outputs of digital media, which provide data, analysis, and subsequent visualization. Qualitative analysis of the content of texts allows a basic prerequisite for fulfilling the objectives of the paper. Subsequent content analysis of tools and options enables comprehensive fulfilment of the main goal. Findings & Value added: The presented paper focuses on specific possibilities of data collection originating from the digital environment, which can be used for further research of the issue and the design of a future system that would avert the global devastating effects of the groundswell. This is because only the prediction of behaviour and immediate response allows for a better response to a crisis.

show abstract

Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps

Cited by 42 publications

References 49 publications

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Disembodied Machine Learning: On the Illusion of Objectivity in NLP

Possibilities of collecting, analysing and visualizing groundswell communication data in a global environment

Contact Info

Product

Resources

About