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@MISC{Konrad2020-rl,
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@MISC{Edmondson2017-pv,
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@MISC{Facebook_for_Developers2021-mn,
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% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
@MISC{Aslam2021-fp,
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@article{salem2021wikipedia,
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@article{hassler2021influence,
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@misc{newman2021reuters,
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}

@Article{rauchfleisch:2021:HCD,
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  year	       = 2021,
  month	       = {Nov},
  pages	       = {1–9},
  issn	       = {1752-4040},
  doi	       = {10.1080/17524032.2021.1990978},
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}

@Article{kearney:2019,
  author       = {Kearney, Michael},
  title	       = {rtweet: Collecting and analyzing Twitter data},
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  month	       = {Oct},
  pages	       = 1829,
  issn	       = {2475-9066},
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  publisher    = {The Open Journal}
}


@inproceedings{edelson2020,
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@incollection{bene2021,
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}

@article{schmokel2021,
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}

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}

@article{cano2021,
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}


@article{calvo2021,
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}

@article{fowler2021,
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}

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	language = {en},
	urldate = {2022-01-05},
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@article{holman_gender_2018,
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}

@article{roberts2021media,
  title={{Media Cloud: Massive Open Source Collection of Global News on the Open Web}},
  author={Roberts, Hal and Bhargava, Rahul and Valiukas, Linas and Jen, Dennis and Malik, Momin M and Bishop, Cindy and Ndulue, Emily and Dave, Aashka and Clark, Justin and Etling, Bruce and others},
  journal={arXiv preprint arXiv:2104.03702},
  year={2021}
}

@article{silge2016tidytext,
    title = {{tidytext: Text Mining and Analysis Using Tidy Data Principles in R}},
    author = {Julia Silge and David Robinson},
    doi = {10.21105/joss.00037},
    url = {http://dx.doi.org/10.21105/joss.00037},
    year = {2016},
    publisher = {The Open Journal},
    volume = {1},
    number = {3},
    journal = {Journal of Open Source Software},
  }


@article{benoit2018quanteda,
  title={{quanteda: An R package for the quantitative analysis of textual data}},
  author={Benoit, Kenneth and Watanabe, Kohei and Wang, Haiyan and Nulty, Paul and Obeng, Adam and M{\"u}ller, Stefan and Matsuo, Akitaka},
  journal={Journal of Open Source Software},
  volume={3},
  number={30},
  pages={774},
  year={2018},
  doi = {10.21105/joss.00774}
}

@Article{huckins:2020:MHB,
  author       = {Huckins, Jeremy F and daSilva, Alex W and Wang,
                  Weichen and Hedlund, Elin and Rogers, Courtney and
                  Nepal, Subigya K and Wu, Jialing and Obuchi, Mikio
                  and Murphy, Eilis I and Meyer, Meghan L and et al.},
  title	       = {Mental Health and Behavior of College Students
                  During the Early Phases of the COVID-19 Pandemic:
                  Longitudinal Smartphone and Ecological Momentary
                  Assessment Study},
  year	       = 2020,
  volume       = 22,
  number       = 6,
  month	       = {Jun},
  pages	       = {e20185},
  issn	       = {1438-8871},
  doi	       = {10.2196/20185},
  url	       = {http://dx.doi.org/10.2196/20185},
  journal      = {Journal of Medical Internet Research},
  publisher    = {JMIR Publications Inc.}
}

@Article{benkler:2015:SMN,
  author       = {Benkler, Yochai and Roberts, Hal and Faris, Robert
                  and Solow-Niederman, Alicia and Etling, Bruce},
  title	       = {Social Mobilization and the Networked Public Sphere:
                  Mapping the SOPA-PIPA Debate},
  year	       = 2015,
  volume       = 32,
  number       = 4,
  month	       = {May},
  pages	       = {594–624},
  issn	       = {1091-7675},
  doi	       = {10.1080/10584609.2014.986349},
  url	       = {http://dx.doi.org/10.1080/10584609.2014.986349},
  journal      = {Political Communication},
  publisher    = {Informa UK Limited}
}

@Article{puschmann:2021,
  author       = {Puschmann, Cornelius and Haim, Mario},
  title	       = {useNews},
  year	       = 2021,
  doi	       = {10.17605/OSF.IO/UZCA3},
  url	       = {https://osf.io/uzca3/},
  publisher    = {Open Science Framework},
  copyright    = {Creative Commons Zero v1.0 Universal}
}

@inproceedings{lima2014coding,
  title={Coding together at scale: GitHub as a collaborative social network},
  author={Lima, Antonio and Rossi, Luca and Musolesi, Mirco},
  booktitle={Eighth international AAAI conference on weblogs and social media},
  year={2014}
}

@inproceedings{chatziasimidis2015,
  author={Chatziasimidis, Fragkiskos and Stamelos, Ioannis},
  booktitle={2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)},
  title={Data collection and analysis of GitHub repositories and users},
  year={2015},  volume={},  number={},  pages={1-6},  doi={10.1109/IISA.2015.7388026}
}

@inproceedings{cosentino2016,
  author={Cosentino, Valerio and Izquierdo, Javier Luis Cánovas and Cabot, Jordi},
  booktitle={2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)}, 
  title={Findings from GitHub: Methods, Datasets and Limitations}, 
  year={2016},
  volume={},
  number={},
  pages={137-141},
  doi={}
}

@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},
    url = {https://CRAN.R-project.org/package=archiveRetriever},
  }

@Manual{InternetArchive2016ia,
  title = {Wayback CDX Server API - BETA},
  author = {{Internet Archive}},
  year = {2016},
  url = {https://github.com/internetarchive/wayback/tree/master/wayback-cdx-server#readme},
}

@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}}},
  isbn = {978-1-4503-4229-2},
  langid = {english},
  file = {C\:\\Users\\liserman\\Google Drive\\zotero-library\\Milligan et al\\Milligan et al_2016_Content Selection and Curation for Web Archiving.pdf}
}


@inproceedings{Hale2014ia,
  title = {Mapping the {{UK}} Webspace: Fifteen Years of British Universities on the Web},
  shorttitle = {Mapping the {{UK}} Webspace},
  booktitle = {Proceedings of the 2014 {{ACM}} Conference on {{Web}} Science - {{WebSci}} '14},
  author = {Hale, Scott A. and Yasseri, Taha and Cowls, Josh and Meyer, Eric T. and Schroeder, Ralph and Margetts, Helen},
  date = {2014},
  pages = {62--70},
  publisher = {{ACM Press}},
  location = {{Bloomington, Indiana, USA}},
  doi = {10.1145/2615569.2615691},
  url = {http://dl.acm.org/citation.cfm?doid=2615569.2615691},
  urldate = {2022-06-28},
  abstract = {This paper maps the national UK web presence on the basis of an analysis of the .uk domain from 1996 to 2010. It reviews previous attempts to use web archives to understand national web domains and describes the dataset. Next, it presents an analysis of the .uk domain, including the overall number of links in the archive and changes in the link density of different second-level domains over time. We then explore changes over time within a particular second-level domain, the academic subdomain .ac.uk, and compare linking practices with variables, including institutional affiliation, league table ranking, and geographic location. We do not detect institutional affiliation affecting linking practices and find only partial evidence of league table ranking affecting network centrality, but find a clear inverse relationship between the density of links and the geographical distance between universities. This echoes prior findings regarding offline academic activity, which allows us to argue that real-world factors like geography continue to shape academic relationships even in the Internet age. We conclude with directions for future uses of web archive resources in this emerging area of research.},
  eventtitle = {The 2014 {{ACM}} Conference},
  isbn = {978-1-4503-2622-3},
  langid = {english},
  file = {C\:\\Users\\liserman\\Google Drive\\zotero-library\\Hale et al\\Hale et al_2014_Mapping the UK webspace.pdf}
}


@misc{rivera,
    title = {RedditExtractoR: Reddit Data Extraction Toolkit},
    author = {Ivan Rivera},
    year = {2022},
    note = {R package version 3.0.6},
    url = {https://CRAN.R-project.org/package=RedditExtractoR},
  }
  

@article{proferes,
	title = {Studying {Reddit}: {A} {Systematic} {Overview} of {Disciplines}, {Approaches}, {Methods}, and {Ethics}},
	volume = {7},
	issn = {2056-3051, 2056-3051},
	shorttitle = {Studying {Reddit}},
	url = {http://journals.sagepub.com/doi/10.1177/20563051211019004},
	doi = {10.1177/20563051211019004},
	language = {en},
	number = {2},
	urldate = {2022-03-18},
	journal = {Social Media + Society},
	author = {Proferes, Nicholas and Jones, Naiyan and Gilbert, Sarah and Fiesler, Casey and Zimmer, Michael},
	month = apr,
	year = {2021},
	pages = {205630512110190}
}


@article{gaudette,
	title = {Upvoting extremism: {Collective} identity formation and the extreme right on {Reddit}},
	volume = {23},
	issn = {1461-4448, 1461-7315},
	shorttitle = {Upvoting extremism},
	url = {http://journals.sagepub.com/doi/10.1177/1461444820958123},
	doi = {10.1177/1461444820958123},
	language = {en},
	number = {12},
	urldate = {2022-03-20},
	journal = {New Media \& Society},
	author = {Gaudette, Tiana and Scrivens, Ryan and Davies, Garth and Frank, Richard},
	month = dec,
	year = {2021},
	pages = {3491--3508}
}


@article{apostolou,
	title = {Why {Men} {Stay} {Single}? {Evidence} from {Reddit}},
	volume = {5},
	issn = {2198-9885},
	shorttitle = {Why {Men} {Stay} {Single}?},
	url = {http://link.springer.com/10.1007/s40806-018-0163-7},
	doi = {10.1007/s40806-018-0163-7},
	language = {en},
	number = {1},
	urldate = {2022-03-20},
	journal = {Evolutionary Psychological Science},
	author = {Apostolou, Menelaos},
	month = mar,
	year = {2019},
	pages = {87--97}
}


@article{chipidza,
	title = {Ideological variation in preferred content and source credibility on {Reddit} during the {COVID}-19 pandemic},
	volume = {9},
	issn = {2053-9517},
	url = {https://doi.org/10.1177/20539517221076486},
	doi = {10.1177/20539517221076486},
	language = {en},
	number = {1},
	urldate = {2022-03-20},
	journal = {Big Data \& Society},
	author = {Chipidza, Wallace and Krewson, Christopher and Gatto, Nicole and Akbaripourdibazar, Elmira and Gwanzura, Tendai},
	month = jan,
	year = {2022},
	note = {Publisher: SAGE Publications Ltd},
	keywords = {COVID-19, health, ideology, misinformation, politics, Reddit, topic analysis},
	pages = {20539517221076486}

}