update links and citations

docs/usage-cli.rst

@@ -12,7 +12,7 @@ Introduction
 
 Trafilatura includes a `command-line interface <https://en.wikipedia.org/wiki/Command-line_interface>`_ and can be conveniently used without writing code.
 
-For the very first steps please refer to this multilingual, step-by-step `Introduction to the command-line interface <https://tutorial.djangogirls.org/en/intro_to_command_line/>`_ and this `section of the Introduction to Cultural Analytics & Python <https://melaniewalsh.github.io/Intro-Cultural-Analytics/Command-Line/The-Command-Line.html>`_.
+For the very first steps please refer to this multilingual, step-by-step `Introduction to the command-line interface <https://tutorial.djangogirls.org/en/intro_to_command_line/>`_ and this `section of the Introduction to Cultural Analytics & Python <https://melaniewalsh.github.io/Intro-Cultural-Analytics/01-Command-Line/01-The-Command-Line.html>`_.
 
 For instructions related to specific platforms see:
 

docs/used-by.rst

@@ -31,8 +31,8 @@ Various software repositories
 - `Benson <https://github.com/timoteostewart/benson>`_, to turn a list of URLs into mp3s of the contents of each web page
 - `CommonCrawl downloader <https://github.com/leogao2/commoncrawl_downloader>`_, to derive massive amounts of language data
 - `GLAM Workbench <https://glam-workbench.github.io/web-archives/>`_ for cultural heritage (web archives section)
-- `llama-hub <https://github.com/emptycrown/llama-hub>`_, a library of data loaders for LLMs
-- `Obsei <https://lalitpagaria.github.io/obsei/>`_, a text collection and analysis tool
+- `llama-hub <https://github.com/emptycrown/llama-hub>`_, a library of data loaders for large language models
+- `Obsei <https://obsei.com/>`_, a text collection and analysis tool
 - `Vulristics <https://github.com/leonov-av/vulristics>`_, a framework for analyzing publicly available information about vulnerabilities
 - `Website-to-Chatbot <https://github.com/Anil-matcha/Website-to-Chatbot>`_, a personalized chatbot
 
@@ -111,22 +111,26 @@ Publications citing Trafilatura
 - Bender, M., Bubenhofer, N., Dreesen, P., Georgi, C., Rüdiger, J. O., & Vogel, F. (2022). Techniken und Praktiken der Verdatung. Diskurse–digital, 135-158.
 - Bevendorff, J., Gupta, S., Kiesel, J., & Stein, B. (2023). An Empirical Comparison of Web Content Extraction Algorithms.
 - Bozarth, L., & Budak, C. (2021). "An Analysis of the Partnership between Retailers and Low-credibility News Publishers", Journal of Quantitative Description: Digital Media, 1.
+- Brandon, C., Doherty, A. J., Kelly, D., Leddin, D., & Margaria, T. (2023). HIPPP: Health Information Portal for Patients and Public. Applied Sciences, 13(16), 9453.
 - Braun, D. (2021). "Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts", PhD Thesis, Technische Universität München.
 - Chen, X., Zeynali, A., Camargo, C., Flöck, F., Gaffney, D., Grabowicz, P., ... & Samory, M. (2022). SemEval-2022 Task 8: Multilingual news article similarity. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 1094-1106).
 - Di Giovanni, M., Tasca, T., & Brambilla, M. (2022). DataScience-Polimi at SemEval-2022 Task 8: Stacking Language Models to Predict News Article Similarity. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 1229-1234).
+- Dumitru, V., Iorga, D., Ruseti, S., & Dascalu, M. (2023). Garbage in, garbage out: An analysis of HTML text extractors and their impact on NLP performance. In 2023 24th International Conference on Control Systems and Computer Science (CSCS) (pp. 403-410). IEEE.
 - Fröbe, M., Hagen, M., Bevendorff, J., Völske, M., Stein, B., Schröder, C., ... & Potthast, M. (2021). "The Impact of Main Content Extraction on Near-Duplicate Detection". arXiv preprint arXiv:2111.10864.
 - Gao, L., Biderman, S., Black, S., Golding, L., Hoppe, T., Foster, C., ... & Leahy, C. (2020). "The Pile: An 800GB Dataset of Diverse Text for Language Modeling", arXiv preprint arXiv:2101.00027.
 - Gopalakrishnan, S., Chen, V. Z., Dou, W., Hahn-Powell, G., Nedunuri, S., & Zadrozny, W. W. (2023). Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs.
 - Harrando, I., & Troncy, R. (2021). "Explainable Zero-Shot Topic Extraction Using a Common-Sense Knowledge Graph", In 3rd Conference on Language, Data and Knowledge (LDK 2021). OpenAccess Series in Informatics, Dagstuhl Publishing.
 - Hartmann, S. (2023). Open Corpus Linguistics–or How to overcome common problems in dealing with corpus data by adopting open research practices.
 - Hunter, B., Mathews, F., & Weeds, J. (2023). Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation. Ecological Informatics, 102076.
 - Indig, B., Sárközi-Lindner, Z., & Nagy, M. (2022). Use the Metadata, Luke!–An Experimental Joint Metadata Search and N-gram Trend Viewer for Personal Web Archives. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities (pp. 47-52).
+- Johannsen, B. (2023). Fußball und safety: Eine framesemantische Perspektive auf Diskurse über trans Sportler* innen. Queere Vielfalt im Fußball, 176.
 - Jung, G., Han, S., Kim, H., Kim, K., & Cha, J. (2022). Extracting the Main Content of Web Pages Using the First Impression Area. IEEE Access.
 - Karabulut, M., & Mayda, İ. (2020). "Development of Browser Extension for HTML Web Page Content Extraction", In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-6). IEEE.
 - Khusainov, A., Suleymanov, D., Gilmullin, R., Minsafina, A., Kubedinova, L., & Abdurakhmonova, N. "First Results of the “TurkLang-7” Project: Creating Russian-Turkic Parallel Corpora and MT Systems", In CMCL (pp. 90-101).
 - Küehn, P., Relke, D. N., & Reuter, C. (2023). Common Vulnerability Scoring System Prediction based on Open Source Intelligence Information Sources. Computers & Security, 103286.
 - Kuehn, P., Schmidt, M., & Reuter, C. (2023). ThreatCrawl: A BERT-based Focused Crawler for the Cybersecurity Domain. arXiv preprint arXiv:2304.11960.
 - Laippala, V., Rönnqvist, S., Hellström, S., Luotolahti, J., Repo, L., Salmela, A., ... & Pyysalo, S. (2020). "From Web Crawl to Clean Register-Annotated Corpora", Proceedings of the 12th Web as Corpus Workshop (pp. 14-22).
+- Laippala, V., Salmela, A., Rönnqvist, S., Aji, A. F., Chang, L. H., Dhifallah, A., ... & Pyysalo, S. (2022). Towards better structured and less noisy Web data: Oscar with Register annotations. In Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022) (pp. 215-221).
 - Madrid-Morales, D. (2021). "Who Set the Narrative? Assessing the Influence of Chinese Media in News Coverage of COVID-19 in 30 African Countries", Global Media and China, 6(2), 129-151.
 - Meier-Vieracker, S. (2022). "Fußballwortschatz digital–Korpuslinguistische Ressourcen für den Sprachunterricht." Korpora Deutsch als Fremdsprache (KorDaF), 2022/01 (pre-print).
 - Meng, K. (2021). "An End-to-End Computational System for Monitoring and Verifying Factual Claims" (pre-print).
@@ -135,6 +139,7 @@ Publications citing Trafilatura
 - Nolda, A., Barbaresi, A., & Geyken, A. (2023). Korpora für die lexikographische Beschreibung diatopischer Variation in der deutschen Standardsprache. Korpora in der germanistischen Sprachwissenschaft: Mündlich, schriftlich, multimedial, 29.
 - Öhman, J., Verlinden, S., Ekgren, A., Gyllensten, A. C., Isbister, T., Gogoulou, E., ... & Sahlgren, M. (2023). The Nordic Pile: A 1.2 TB Nordic Dataset for Language Modeling. arXiv preprint arXiv:2303.17183.
 - Penedo, G., Malartic, Q., Hesslow, D., Cojocaru, R., Cappelli, A., Pannier, B., ... & Launay, J. The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.
+- Piskorski, J., Stefanovitch, N., Da San Martino, G., & Nakov, P. (2023). Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup. In Proceedings of the the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 2343-2361).
 - Robertson, F., Lagus, J., & Kajava, K. (2021). "A COVID-19 news coverage mood map of Europe", Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (pp. 110-115).
 - Salmela, A. (2022). "Distinguishing Noise and Main Text Content from Web-Sourced Plain Text Documents Using Sequential Neural Networks", Master's thesis, University of Turku.
 - Sawczyn, A., Binkowski, J., Janiak, D., Augustyniak, Ł., & Kajdanowicz, T. (2021). "Fact-checking: relevance assessment of references in the Polish political domain", Procedia Computer Science, 192, 1285-1293.