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references_overall.bib
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@Manual{rudnytskyi2023,
title = {openai: R Wrapper for OpenAI API},
author = {Iegor Rudnytskyi},
year = {2023},
note = {R package version 0.4.1,
https://irudnyts.github.io/openai/},
url = {https://github.com/irudnyts/openai},
}
@techreport{evsyukova2023,
title = {LinkedOut? A Field Experiment on Discrimination in Job Network Formation},
author={Evsyukova, Yulia and Rusche, Felix and Mill, Wladislaw},
year = {2023},
url = {https://www.crctr224.de/research/discussion-papers/archive/dp482},
type={CRC TR 224 Discussion Paper Series No. 482}
}
@techreport{djourelova2024experience,
title = {Experience, Narratives, and Climate Change Beliefs},
author={Milena Djourelova and Ruben Durante and Elliot Motte and Eleonora Patacchini},
year = {2024},
type={Working Paper}
}
@misc{sun2024random,
title={Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information},
author={Seungjong Sun and Eungu Lee and Dongyan Nan and Xiangying Zhao and Wonbyung Lee and Bernard J. Jansen and Jang Hyun Kim},
year={2024},
eprint={2402.18144},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
@misc{roye2018,
title = {Accessing {OpenStreetMap} data with {R}},
url = {https://www.r-bloggers.com/2018/11/accessing-openstreetmap-data-with-r/},
author = {Royé, Dominic},
year = {2018},
annote = {Accessed: 2022-18-04}
}
@article{ostermann2022,
title = {Geodata in labor market research: {Trends}, potentials, and perspectives},
volume = {1},
number = {115},
author = {{Ostermann, K.} and {Eppelsheimer, J.} and {Gläser, N.} and {Haller, P.} and {Oertel, M.}},
year = {2022}
}
@misc{FAQs,
title = {FAQs},
url = {https://www.openstreetmap.de/faq.html#was_ist_osm},
year = {2022},
note = {Publication Title: OpenStreetMap - Deutschland}
}
@techreport{hintze_lakes2009,
type = {Working {Paper}},
title = {Geographically referenced data for social science},
url = {http://ssrn.com/abstract=1498449},
number = {No. 125},
institution = {German Council for Social and Economic Data (RatSWD)},
author = {Hintze, P and Lakes, T.},
year = {2009}
}
@misc{OverpassAPI,
title = {Overpass API},
url = {https://wiki.openstreetmap.org/wiki/Overpass_API},
year = {2022},
note = {Publication Title: Wikipedia}
}
@misc{OverpassAPIApplications,
title = {Overpass API/Applications},
url = {https://wiki.openstreetmap.org/wiki/Overpass_API/Applications},
year = {2022}
}
@book{steinberg_steinberg2006,
address = {Thousand Oaks, London, New Delhi},
title = {{GIS}: {Geographic} {Information} {Systems} for the {Social} {Sciences}: {Investigating} {Space} and {Place}.},
publisher = {SAGE Publications},
author = {Steinberg, S.J. and Steinberg, S.L.},
year = {2006}
}
@ARTICLE{Dobbrick2021-iz,
title = "Enhancing {Theory-Informed} Dictionary Approaches with
``Glass-box'' Machine Learning: The Case of Integrative
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Wessler, Hartmut",
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publisher = "Routledge",
pages = "1--18",
month = nov,
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}
@ARTICLE{Gavras2022-fn,
title = "Innovating the collection of open-ended answers: The linguistic
and content characteristics of written and oral answers to
political attitude questions",
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publisher = "Wiley-Blackwell",
volume = "tba",
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pages = "1--19",
year = 2022,
address = "Oxford",
language = "de"
}
@ARTICLE{Schober2015-df,
title = "Precision and Disclosure in Text and Voice Interviews on
Smartphones",
author = "Schober, Michael F and Conrad, Frederick G and Antoun,
Christopher and Ehlen, Patrick and Fail, Stefanie and Hupp,
Andrew L and Johnston, Michael and Vickers, Lucas and Yan, H
Yanna and Zhang, Chan",
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pages = "e0128337",
month = jun,
year = 2015,
language = "en"
}
@ARTICLE{Revilla2021-qb,
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}
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title = "Testing the Validity of Automatic Speech Recognition for
Political Text Analysis",
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month = jul,
year = 2019
}
@ARTICLE{Grimmer2013-xe,
title = "Text as Data: The Promise and Pitfalls of Automatic Content
Analysis Methods for Political Texts",
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with Google Translate",
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month = sep,
year = 2018,
archivePrefix = "arXiv",
primaryClass = "cs.CY",
eprint = "1809.02208"
}
@article{Haimetal2018,
author = {Haim, Mario and Graefe, Andreas and Brosius, Hans-Bernd},
title = {Burst of the Filter Bubble?},
journal = {Digital Journalism},
volume = {6},
number = {3},
pages = {330-343},
year = {2018},
publisher = {Routledge},
doi = {10.1080/21670811.2017.1338145},
URL = {https://doi.org/10.1080/21670811.2017.1338145}
}
@ARTICLE{Chrisingeretal2020,
title = "SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaning",
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publisher = "Routledge",
pages = "1--18",
month = nov,
year = 2021
}
@ARTICLE{Clemm2022,
title = "Truth and bias, left and right",
author = "Clemm von Hohenberg, Bernhard",
year = 2022,
}
@ARTICLE{Larsson2020-iu,
title = "Right-wingers on the rise online: Insights from the 2018 Swedish
elections",
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number = 12,
pages = "2108--2127",
month = dec,
year = 2020
}
@ARTICLE{Bruns2020-pl,
title = "`Corona? 5G? or both?': the dynamics of {COVID-19/5G} conspiracy
theories on Facebook",
author = "Bruns, Axel and Harrington, Stephen and Hurcombe, Edward",
journal = "Media International Australia",
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volume = 177,
number = 1,
pages = "12--29",
month = nov,
year = 2020
}
@ARTICLE{Broniatowski2020-rh,
title = "Facebook Pages, the ``Disneyland'' Measles Outbreak, and
Promotion of Vaccine Refusal as a Civil Right, 2009-2019",
author = "Broniatowski, David A and Jamison, Amelia M and Johnson, Neil F
and Velasquez, Nicol{\'a}s and Leahy, Rhys and Restrepo, Nicholas
Johnson and Dredze, Mark and Quinn, Sandra C",
journal = "Am. J. Public Health",
volume = 110,
number = "S3",
pages = "S312--S318",
month = oct,
year = 2020,
language = "en"
}
@ARTICLE{Berriche2020-dt,
title = "Internet users engage more with phatic posts than with health
misinformation on Facebook",
author = "Berriche, Manon and Altay, Sacha",
journal = "Palgrave Communications",
publisher = "Palgrave",
volume = 6,
number = 1,
pages = "1--9",
month = apr,
year = 2020,
language = "en"
}
@MISC{Konrad2020-rl,
title = "Using Google Places data to analyze changes in mobility
during the {COVID-19} pandemic",
author = "Konrad, Markus",
month = may,
year = 2020,
howpublished = "\url{https://datascience.blog.wzb.eu/2020/05/11/using-google-places-data-to-analyze-changes-in-mobility-during-the-covid-19-pandemic/}",
note = "Accessed: 2021-11-22"
}
@MISC{Edmondson2017-pv,
title = "Google Cloud Speech {API}",
author = "Edmondson, Mark",
month = sep,
year = 2017,
howpublished = "\url{https://mran.microsoft.com/snapshot/2017-09-27/web/packages/googleLanguageR/vignettes/speech.html}",
note = "Accessed: 2021-11-23"
}
@ARTICLE{Hosseinmardi2015-yc,
title = "Prediction of Cyberbullying Incidents on the Instagram
Social Network",
author = "Hosseinmardi, Homa and Mattson, Sabrina Arredondo and Rafiq,
Rahat Ibn and Han, Richard and Lv, Qin and Mishr, Shivakant",
month = aug,
year = 2015,
archivePrefix = "arXiv",
primaryClass = "cs.IR",
eprint = "1508.06257"
}
@ARTICLE{Brown2019-jp,
title = "Can acute suicidality be predicted by Instagram data? Results
from qualitative and quantitative language analyses",
author = "Brown, Rebecca C and Bendig, Eileen and Fischer, Tin and
Goldwich, A David and Baumeister, Harald and Plener, Paul L",
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volume = 14,
number = 9,
pages = "e0220623",
month = sep,
year = 2019,
language = "en"
}
@INPROCEEDINGS{Ferwerda2015-db,
title = "Predicting Personality Traits with Instagram Pictures",
booktitle = "Proceedings of the 3rd Workshop on Emotions and Personality in
Personalized Systems 2015",
author = "Ferwerda, Bruce and Schedl, Markus and Tkalcic, Marko",
publisher = "Association for Computing Machinery",
pages = "7--10",
series = "EMPIRE '15",
month = sep,
year = 2015,
address = "New York, NY, USA",
location = "Vienna, Austria"
}
@MISC{Tankovska_undated-ph,
title = "Topic: Instagram",
author = "Tankovska, H",
howpublished = "\url{https://www.statista.com/topics/1882/instagram/}",
note = "Accessed: 2021-NA-NA"
}
@MISC{Facebook_for_Developers2021-mn,
title = "Instagram Basic Display {API}",
author = "{Facebook for Developers}",
year = 2021,
howpublished = "\url{https://developers.facebook.com/docs/instagram-basic-display-api/}"
}
% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
@MISC{Aslam2021-fp,
title = "• Instagram by the Numbers (2021): Stats, Demographics \& Fun
Facts",
author = "Aslam, Salman",
month = jan,
year = 2021,
howpublished = "\url{https://www.omnicoreagency.com/instagram-statistics/}",
note = "Accessed: 2021-11-30",
language = "en"
}
@MISC{Instagram2021-ii,
title = "Instagram Developer Documentation",
author = "{Instagram}",
year = 2021,
howpublished = "\url{https://www.instagram.com/developer/}"
}
@ARTICLE{Hu2014-br,
title = "What We Instagram: A First Analysis of Instagram Photo Content
and User Types",
author = "Hu, Yuheng and Manikonda, L and Kambhampati, S",
journal = "ICWSM",
year = 2014
}
@ARTICLE{Baertl2018,
title = "YouTube channels, uploads and views: A statistical analysis of the past 10 years.",
author = "Baertl, M",
journal = "Convergence",
year = 2018
}
@ARTICLE{Obadimu2019,
title = "Identifying toxicity within youtube video comment.",
author = "Obadimu, A., Mead, E., Hussain, M. N., & Agarwal, N.",
journal = "In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation",
year = 2019
}
@ARTICLE{Rieder2018,
title = "From ranking algorithms to ‘ranking cultures’: Investigating the modulation of visibility in YouTube search results.",
author = "Rieder, B., Matamoros-Fernández, A., & Coromina, Ò.",
journal = "Convergence",
year = 2018
}
@ARTICLE{Prado-Roman2021,
title = "Google Trends as a Predictor of Presidential Elections: The United States Versus Canada.",
author = "Prado-Román C, Gómez-Martínez R, Orden-Cruz C.",
journal = "American Behavioral Scientist",
year = 2021
}
@ARTICLE{Mavragani2019,
title = "Predicting referendum results in the Big Data Era.",
author = "Mavragani, A., Tsagarakis, K.P.",
journal = "J Big Data",
year = 2019
}
@ARTICLE{Brodeur2021,
title = "COVID-19, lockdowns and well-being: Evidence from Google Trends",
author = "Brodeur, A., Clark, A. E., Fleche, S., & Powdthavee, N.",
journal = "Journal of public economics",
year = 2021
}
@ARTICLE{Bedini2014,
title = "Open Government Data: Fostering Innovation. EJournal of EDemocracy and Open Government",
author = "Bedini, I., Farazi, M. F., Leoni, D., Pane, J., Tankoyeu, I., & Leucci, S.",
journal = "EJournal of EDemocracy and Open Government",
year = 2014
}
@ARTICLE{Correa2015,
title = "A collaborative-oriented middleware for structuring information to open government data.",
author = "Corrêa, A. S., Corrêa, P. L. P., & da Silva, F. S. C.",
journal = "Proceedings of the 16th Annual International Conference on Digital Government Research",
year = 2015
}
@ARTICLE{Liu2018,
title = "Open Government Data: The German Government is Moving.",
author = "Liu, C., Liu, X., Li, X., Liu, W., Yan, C., & Li, Q.",
journal = "Asia-Pacific Social Science and Modern Education Conference (SSME 2018)",
year = 2018
}
@ARTICLE{Marienfeld2013,
title = "Metadata aggregation at GovData.de: An experience report.",
author = "Marienfeld, F., Schieferdecker, I., Lapi, E., & Tcholtchev, N.",
journal = "Proceedings of the 9th International Symposium on Open Collaboration",
year = 2013
}
@article{elbahrawy2019wikipedia,
title={Wikipedia and cryptocurrencies: interplay between collective attention and market performance},
author={ElBahrawy, Abeer and Alessandretti, Laura and Baronchelli, Andrea},
journal={Frontiers in Blockchain},
volume={2},
pages={12},
year={2019},
publisher={Frontiers}
}
@article{gozzi2020collective,
title={Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis},
author={Gozzi, Nicol{\`o} and Tizzani, Michele and Starnini, Michele and Ciulla, Fabio and Paolotti, Daniela and Panisson, Andr{\'e} and Perra, Nicola},
journal={Journal of medical Internet research},
volume={22},
number={10},
pages={e21597},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}
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title={Wiki-worthy: collective judgment of candidate notability},
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}
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title = {Persistent {Underrepresentation} of {Women}’s {Science} in {High} {Profile} {Journals}},
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urldate = {2022-01-05},
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year = {2018},
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language = {en},
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month = apr,
year = {2018},
note = {Publisher: Public Library of Science},
keywords = {Bibliometrics, Careers, Computer and information sciences, Medical journals, Open access medical journals, Open access publishing, Scientific publishing, Sexual and gender issues},
pages = {e2004956},
}
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}
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@Manual{Gavras2022ia,
title = {archiveRetriever: Retrieve Archived Web Pages from the 'Internet Archive'},
author = {Konstantin Gavras and Lukas Isermann},
year = {2022},
note = {R package version 0.2.0},
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}
@Manual{InternetArchive2016ia,
title = {Wayback CDX Server API - BETA},
author = {{Internet Archive}},
year = {2016},
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}
@online{InternetArchive2022ia,
author = {{Internet Archive}},
title = {About the Internet Archive},
year = 2022,
url = {https://archive.org/about/},
urldate = {2022-06-21}
}
@phdthesis{Gavras2022,
title = {The conditions and nature of europeanized public discourse ? A multi-lingual QTA analysis of public discourses in Europe using the internet archive, 2016-2019},
language = {Englisch},
year = {2022},
address = {Mannheim},
author = {Konstantin Gavras},
abstract = {European integration considerably changes public discourses in the member states of the European Union. In this work, I examine the conditions for the Europeanization of public discourse and the nature of Europeanized public discourse. According to a theoretical framework building on postfunctionalist theories of European integration, mainstream opposition and challenger parties with strong positive and negative preferences on European integration have incentives to strategically shape Europeanized public discourse. I test several hypotheses considering three important political issues - economy, security and migration - using a self-compiled data set of about 3 million newspaper articles in 24 different languages from all EU member states retrieved from the Internet Archive between 2016 and 2019. The results indicate that mainstream opposition and challenger parties increase the saliency of Europeanized public discourse. Furthermore, the polarization of Europeanized public discourse builds upon the interaction of challenger parties with strong preferences on European integration and mainstream opposition parties. This work provides a framework and first empirical evidence on the Europeanization of public discourses in all EU member states, using multi-lingual quantitative text analysis on a large data set retrieved from the Internet Archive.},
url = {https://madoc.bib.uni-mannheim.de/62270/}
}
@incollection{Brugger2017ia,
title = {Exploring the Domain Names of the {{Danish}} Web},
booktitle = {The {{Web}} as {{History}}: {{Using Web Archives}} to {{Understand}} the {{Past}} and the {{Present}}},
author = {Brügger, Niels and Laursen, Ditte and Nielsen, Janne},
editor = {Brügger, Niels and Schroeder, Ralph},
date = {2017-03-06},
eprint = {10.2307/j.ctt1mtz55k},
eprinttype = {jstor},
publisher = {{UCL Press}},
doi = {10.2307/j.ctt1mtz55k},
isbn = {978-1-911307-56-3 978-1-911307-42-6},
langid = {english},
file = {C\:\\Users\\liserman\\Google Drive\\zotero-library\\Brügger et al\\Brügger et al_2017_Exploring the domain names of the Danish web.pdf}
}
@incollection{Hale2017ia,
title = {Live versus Archive: {{Comparing}} a Web Archive to a Population of Web Pages},
booktitle = {The {{Web}} as {{History}}: {{Using Web Archives}} to {{Understand}} the {{Past}} and the {{Present}}},
author = {Hale, Scott A. and Blank, Grant and Alexander, Victoria D.},
editor = {Brügger, Niels and Schroeder, Ralph},
date = {2017-03-06},
eprint = {10.2307/j.ctt1mtz55k},
eprinttype = {jstor},
publisher = {{UCL Press}},
doi = {10.2307/j.ctt1mtz55k},
isbn = {978-1-911307-56-3 978-1-911307-42-6},
langid = {english},
file = {C\:\\Users\\liserman\\Google Drive\\zotero-library\\Hale et al\\Hale et al_2017_Live versus archive.pdf}
}
@article{Littman2018ia,
title = {{{API-based}} Social Media Collecting as a Form of Web Archiving},
author = {Littman, Justin and Chudnov, Daniel and Kerchner, Daniel and Peterson, Christie and Tan, Yecheng and Trent, Rachel and Vij, Rajat and Wrubel, Laura},
date = {2018-03},
journaltitle = {International Journal on Digital Libraries},
shortjournal = {Int J Digit Libr},
volume = {19},
number = {1},
pages = {21--38},
issn = {1432-5012, 1432-1300},
doi = {10.1007/s00799-016-0201-7},
url = {http://link.springer.com/10.1007/s00799-016-0201-7},
urldate = {2022-06-27},
abstract = {Social media is increasingly a topic of study across a range of disciplines. Despite this popularity, current practices and open source tools for social media collecting do not adequately support today’s scholars or support building robust collections for future researchers. We are continuing to develop and improve Social Feed Manager (SFM), an open source application assisting scholars collecting data from Twitter’s API for their research. Based on our experience with SFM to date and the viewpoints of archivists and researchers, we are reconsidering assumptions about API-based social media collecting and identifying requirements to guide the application’s further development. We suggest that aligning social media collecting with web archiving practices and tools addresses many of the most pressing needs of current and future scholars conducting quality social media research. In this paper, we consider the basis for these new requirements, describe in depth an alignment between social media collecting and web archiving, outline a technical approach for effecting this alignment, and show how the technical approach has been implemented in SFM.},
langid = {english},
file = {C\:\\Users\\liserman\\Google Drive\\zotero-library\\Littman et al\\Littman et al_2018_API-based social media collecting as a form of web archiving.pdf}
}
@inproceedings{Milligan2016ia,
title = {Content {{Selection}} and {{Curation}} for {{Web Archiving}}: {{The Gatekeepers}} vs. the {{Masses}}},
shorttitle = {Content {{Selection}} and {{Curation}} for {{Web Archiving}}},
booktitle = {Proceedings of the 16th {{ACM}}/{{IEEE-CS}} on {{Joint Conference}} on {{Digital Libraries}}},
author = {Milligan, Ian and Ruest, Nick and Lin, Jimmy},
date = {2016-06-19},
pages = {107--110},
publisher = {{ACM}},
location = {{Newark New Jersey USA}},
doi = {http://dx.doi.org/10.1145/2910896.2910913},
url = {https://dl.acm.org/doi/10.1145/2910896.2910913},
urldate = {2022-06-27},
abstract = {Any preservation effort must begin with an assessment of what content to preserve, and web archiving is no different. There have historically been two answers to the question “what should we archive?” The Internet Archive’s broad entire-web crawls have been supplemented by narrower domain- or topic-specific collections gathered by numerous libraries. We can characterize this as content selection and curation by “gatekeepers”. In contrast, we have witnessed the emergence of another approach driven by “the masses”—we can archive pages that are contained in social media streams such as Twitter. The interesting question, of course, is how these approaches differ. We provide an answer to this question in the context of a case study about the 2015 Canadian federal elections. Based on our analysis, we recommend a hybrid approach that combines an effort driven by social media and more traditional curatorial methods.},
eventtitle = {{{JCDL}} '16: {{The}} 16th {{ACM}}/{{IEEE-CS Joint Conference}} on {{Digital Libraries}}},