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1	Ukraine : la guerre des mèmes
	Wagener, Albin
	In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03651494 ; The Conversation, The Conversation France, 2022 (2022)
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2	Cross-lingual few-shot hate speech and offensive language detection using meta learning
	Mozafari, Marzieh; Farahbakhsh, Reza; Crespi, Noel
	In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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3	Efficiency of Use of Internet Resources in Teaching a Foreign Language at Non-Linguistic Universities ...
	Editor Academic Journals & Conferences. - : Open Science Framework, 2022
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4	An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework ...
	Nowroozi, Ehsan; Abhishek; Mohammadi, Mohammadreza. - : arXiv, 2022
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5	A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring
	Matthew Lowe; Ruwen Qin; Xinwei Mao
	In: Water; Volume 14; Issue 9; Pages: 1384 (2022)
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6	Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
	Konstantina-Maria Giannakopoulou; Ioanna Roussaki; Konstantinos Demestichas
	In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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7	Nomophobia and Its Associated Factors in Peruvian Medical Students
	Cesar Copaja-Corzo; Carlos Jesús Aragón-Ayala; Alvaro Taype-Rondan; Nomotest-Group Nomotest-Group
	In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5006 (2022)
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8	Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
	Xi Chen; Hao Ding; Shaofen Fang; Wei Chen
	In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
	Abstract: This study explored how the success of project crowdfunding can be predicted based on the texts of Internet social welfare crowdfunding projects. Through a calculation of the quantity of information and a mining of the sentimental value of the text, how the text information of the interconnected social welfare crowdfunding project affects the success of the project was studied. To this aim, a sentimental dictionary of Chinese Internet social welfare crowdfunding texts was constructed, and information entropy was used to calculate the quantity of information in the text. It was found that, compared with the information presented in the text, the fundraiser’s social network factors are key in improving the success of fundraising. The sentimental value of the text positively affects the success of fundraising, while the influence of the quantity of information is represented as an inverted, U-shaped relationship. The non-ideal R-squared indices reflected that the multiple linear regression models do not perform well regarding this prediction. Furthermore, this paper validated and analyzed the prediction efficiency of four machine-learning models, including a multiple regression model, a decision tree regression model, a random forest regression model, and an AdaBoost regression model, and the AdaBoost regressor showed the best efficiency, with an accuracy R2 of up to 97.7%. This study provides methods for the quantified processing of information contained in social welfare crowdfunding texts, as well as effective prediction on social welfare crowdfunding, and also seeks to raise the success rate of crowdfunding and thus features commercial and social value.
	Keyword: information entropy; Internet social welfare crowdfunding; machine learning models; sentiment; text mining
	URL: https://doi.org/10.3390/app12031572
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9	The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective
	Xuehao Bi; Bo Wen; Wei Zou
	In: Agriculture; Volume 12; Issue 3; Pages: 377 (2022)
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10	Mid-Pandemic Pedagogy: A Candid Dialogue between Student and Literature Professor
	Katherine Saunders Nash; Emma Carlson
	In: Literature; Volume 2; Issue 2; Pages: 62-76 (2022)
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11	MOCKERY AND PROVOCATION FOR FUN: LEXICAL AND SEMANTIC REPRESENTATION IN THE RUSSIAN LANGUAGE ...
	Rebrina, L.N.. - : Инфинити, 2022
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12	The mediating role of parents and school in peer aggression problems ; Posredniška vloga staršev in šole pri vrstniškem nasilju
	Velki, Tena
	In: CEPS Journal 12 (2022) 1, S. 169-188 (2022)
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13	Ukraine : la guerre des mèmes
	Wagener, Albin
	In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03651494 ; The Conversation, The Conversation France, 2022 (2022)
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14	Toward an Epistemic Web
	Hyman, Malcolm D.; Renn, Jürgen
	In: 197 ; RatSWD Working Paper Series ; 22 (2022)
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15	Invective Gaze - Das digitale Bild und die Kultur der Beschämung
	In: 99 ; Edition Medienwissenschaft ; 206 (2022)
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16	Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
	Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
	In: 46 ; Digitale Gesellschaft ; 327 (2022)
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17	Investigating the potential of a novel Internet-based cognitive behavioural intervention for Dari and Farsi speaking refugee youth: a feasibility study
	Richards, Derek. - 2022
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18	Deixis de interfaz o cómo mejorar la redacción publicitaria en internet ; Deixis of interface or how to improve advertising writing on the Internet
	Pallarés Maiques, Majo. - : Universidad de Alicante. Grupo de Investigación Comunicación y Públicos Específicos (COMPUBES), 2022
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19	COVID-19 и опыт виртуальной коммуникации греко-католического владыки с паствой ; COVID-19 and a Greek Catholic Hierarch’s Experience of Virtual Communication with Parishioners
	Петрикова, А.; Petrikova, А.. - : Уральский федеральный университет, 2022
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20	Comunicazione, dibattito pubblico, social media : come orientarsi con la linguistica
	Pietrandrea, Paola. - Roma : Carocci editore, 2021
	BLLDB
	UB Frankfurt Linguistik
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