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ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.

How the World Changed Social Media is the first book in Why We Post, a book series that investigates the findings of anthropologists who each spent 15 months living in communities across the world. This book offers a comparative analysis summarising the results of the research and explores the impact of social media on politics and gender, education and commerce. What is the result of the increased emphasis on visual communication? Are we becoming more individual or more social? Why is public social media so conservative? Why does equality online fail to shift inequality offline? How did memes become the moral police of the internet?

Supported by an introduction to the project's academic framework and theoretical terms that help to account for the findings, the book argues that the only way to appreciate and understand something as intimate and ubiquitous as social media is to be immersed in the lives of the people who post. Only then can we discover how people all around the world have already transformed social media in such unexpected ways and assess the consequences. - ஒன்பது மானுடவியலாளர்கள் பிரேசில், சீனா, இந்தியா, துருக்கி, இங்கிலாந்து, சிலி, டிரினிடாட், இத்தாலி போன்ற ஒன்பது வெவ்வேறு சமூகங்களில் 15 மாதங்களை தங்கியிருந்து நடத்திய ஆய்வின் கண்டுபிடிப்புகளை ஆராயும் "நாம் ஏன் பதிவிடுகிறோம்" என்ற புத்தக வரிசையின் முதல் புத்தகம் தான் உலகம் சமூக ஊடகங்களை எப்படி மாற்றியிருக்கிறது என்ற இந்தப் புத்தகம். இது மேற்கூறிய ஆராய்ச்சியின் முடிவுகளை தொகுத்து வழங்கியும், அரசியல், கல்வி, பாலினம், வணிகம் ஆகியவற்றின் மீது சமூக ஊடகங்களின் தாக்கத்தைப் பற்றி ஆராய்ந்தும், ஒரு ஒப்பீட்டு ஆய்வினை வழங்குகிறது. காட்சிக்குரிய தகவல் பரிமாற்றத்தின் மீதான அதிக முக்கியத்துவத்தின் விளைவுகள் என்ன? நாம் அதிக தனிமையானவர்களாக ஆகிவருகிறோமா அல்லது அதிக சமூகமயமானவர்களாக ஆகிவருகிறோமா? பொதுநோக்கிய சமூக ஊடகங்கள் ஏன் மிகவும் பழமைவாதம் நிறைந்ததாக இருக்கிறது? நிகழ்நிலையில் உள்ள சமத்துவத்தால், இயல்புநிலையில் உள்ள சமத்துவமின்மையை ஏன் மாற்ற முடியவில்லை? மீம்கள் எப்படி இணையத்தின் மரபுக் காவலர்களாக மாறின? போன்றவை தான் அவை.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.

One of the first ethnographic studies to explore use of social media in the everyday lives of people in Tamil Nadu, Social Media in South India provides an understanding of this subject in a region experiencing rapid transformation. The influx of IT companies over the past decade into what was once a space dominated by agriculture has resulted in a complex juxtaposition between an evolving knowledge economy and the traditions of rural life. While certain class tensions have emerged in response to this juxtaposition, a study of social media in the region suggests that similarities have also transpired, observed most clearly in the blurring of boundaries between work and life for both the old residents and the new.

Venkatraman explores the impact of social media at home, work and school, and analyses the influence of class, caste, age and gender on how, and which, social media platforms are used in different contexts. These factors, he argues, have a significant effect on social media use, suggesting that social media in South India, while seeming to induce societal change, actually remains bound by local traditions and practices. - दक्षिण भारत पर सामाजिक मीडिया, जो तमिलनाडु में लोगों के दैनिक जीवन में सामाजिक मीडिया के उपयोग पर अन्वेषण करनेवाले पहले के नृवंशवैज्ञानिक अध्ययनों पर एक है, तेज़ी परिवर्तन का अनुभव करनेवाले एक क्षेत्र में इस विषय का ज्ञान प्रदान करता है. जो एक समय कृषि से हावी किया गया था, उस क्षेत्र पर पिछले दशक में आईटी कंपनियों का प्रवेश, एक उद्विकासी ज्ञान अर्थव्यवस्था और ग्रामीण जीवन की परिपाटी के बीच एक जटिल मुकाबला का कारण बन गया है. जबकि इस मुकाबले के उत्तरक्रिया के रूप में कुछ वर्गीय तनाव प्रकट हुए हैं, इस क्षेत्र के सामाजिक मीडिया पर अध्ययन इसका प्रस्ताव करता है कि समरूपता का भी पता चलता है, जो पुराने और नए निवासियों के काम और जीवन की सीमाओं के धुंधुला होने से अधिक स्पष्ट रूप से अवलोकन किया जाता है.

वेंकटरामन घर, काम और स्कूल पर सामाजिक मीडिया के प्रभाव पर अन्वेषण करते हैं और वर्ग, जाति, उम्र और लिंग के प्रभाव पर इसका विश्लेशण करते हैं कि जैसे और जो सामाजिक मीडिया के मंच विभिन्न सन्दर्भों पर उपयोग किये जाते हैं. वे ऐसा तर्क करते हैं कि ये कारक के सामाजिक मीडिया के उपयोग पर महत्वपूर्ण प्रभाव होता है और इसका प्रस्ताव करते हैं दक्षिण भारत में सामाजिक मीडिया, यद्यपि सामाजिक परिवर्तन को प्रेरित करने लगता है, वास्तव में सामाजिक परिपाटी और प्रयोग से सीमित हैं.