Digital Ethics concepts mapping

Research question

How the concept space of the Digital Ethics research looks like?

The aim of the research is to identify the range of the topics around Digital Ethics studies.

Code and data

notebook.ipynb: Python code with preprocessing and cleaning the text, visualisation of the discourse and creation of the dataframe for network analysis

The data consists of two files:

all_texts.txt: the final text file with 50 articles merged

data_for_network.csv: the dataframe file with 500 bigrams and their nodes weight

ethics.gephi: the output Gephi network file

Steps

Data collection

Articles for each topic connected with Digital Ethics studies: AI, Robotics, Open Government, Open Source, Accessibility. Articles were collected through Google Scholar, all texts were publicly available and free of charge. For each category, 10 of the most recent articles were collected, which included an ethical framework for study of Tech.

Data preparation

Transforming pdf to text files, merging texts.

Cleaning the text data

Lower case, identify and remove the stopwords, noise and punctuation.

Creating the dataframe for the network analysis

Dataframe based on the words appearance 2-grams and their nodes weight

Creating the network

Setting the nodes and edges size, calculating centrality and assigning communities.

Additional analysis of the network

Community detection and clustering.

Visualisation

Exploration of the Digital Ethics discourse

Final Result