README file
Data Set Title: what_editors
Data Set Author/s: 
Luca Pareschi (University of Bologna), https://orcid.org/0000-0002-4402-9329; 
Maria Lusiani (Ca' Foscari University of Venice), https://orcid.org/0000-0002-5550-8800 
Data Set Contact Person/s: Luca Pareschi (University of Bologna), luca.pareschi@unibo.it; 
Publication Year: 2019
Data set Contents
The data set consists of:
•	a compressed folder named “Interviews” containing 87 textual qualitative files saved in .txt format. These are raw data that cannot be openly shared, they are interviews published in several online literary magazines.
•	a compressed folder named “Topic_Modeling” containing 3 textual qualitative/quantitative files saved in .txt format. These files are the output Mallet software
o	file “ed10-keys.txt” contains the most relevant words for each topic
o	file “ed10-composition.txt” contains the topic composition of each interview 
o	file “counts-file-ed10.txt” contains a description of how each word within the corpus was coded
•	a compressed folder named “MCA” containing 1 textual quantitative file saved in .txt format
o	file “stats.txt” contains the statistical results of MCA analysis
•	a tabular qualitative file named “Interviews_links_list.ods”. It contains the links to the 87 interviews, published during the period 2007-2014, in nine online literary magazines: “Affari Italiani” (12 interviews), “Sul Romanzo” (28 interviews), “Vita da Editor” (19 interviews), “Nazione Indiana” (4 interviews), “Nuovi Argomenti” (18 interviews), “Doppiozero” (2 interviews), “Oblique” (1 interview), “Carmilla online” (1 interview), “Minima et Moralia” (1 interview), and “Linkiesta” (1 interview) 
•	a readme file named “README_what_editors” saved in .rtf format
Data set Documentation
Abstract
This Data Set contains the underlying data for the paper “What editors talk about when they talk about editors? A public discourse analysis of market and aesthetic logics” published by Poetics in 2020, https://doi.org/10.1016/j.poetic.2020.101444.

Data Set License
With the only exception of the raw data contained in folder “Interviews” that are not openly sharable and are under closed access, all the other parts of the data set are distributed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/ 

File specifics
Files in the folder “Topic Modeling” were created through the Software Mallet, which is an Open Source Software: http://mallet.cs.umass.edu/

Files in the folder “MCA” were created through the software R, which is a free software for Statistical Computing: https://www.r-project.org/