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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...12 Hits 1 – 20 of 239 1 Food shortages, stockpiling and panic buying ahead of Brexit as reported by the British media : a mixed methods content analysis Coleman, Paul; Dhaif, Fatima; Oyebode, Oyinlola. - : BioMed Central Ltd., 2022 BASE Show details 2 Management of reproduction of the livestock branch as the basis of its innovation-and-investment development ... Lavruk, Vitalii; Korzhenivska, Nataliia; Tkachuk, Vitalii. - : Unknown, 2021 BASE Show details 3 Service innovation management in a modern economy : insights on the interplay between firms’ innovative culture and project-level success factors Santos-Vijande, M. L.; López-Sánchez, J. A.; Pascual-Fernández, P.. - : Elsevier Science BV, 2021 BASE Show details 4 Essays in behavioural economics and language Bose, Neha. - 2021 BASE Show details 5 Using Technology-Enhanced Language Learning Environments to Influence the Communicative Potential of Adult Learners of English as a Foreign Language in Vietnam Le, Cuong Duc. - 2021 BASE Show details 6 Building inclusive partnerships with culturally and linguistically diverse (CALD) communities Young, Celeste; Ooi, Daniel. - : Bushfire and Natural Hazards CRC, 2021 BASE Show details 7 Extracting Human Behaviour and Personality Traits from Social Media Singh, Ravinder. - 2021 Abstract: Online social media has evolved as an integral part of human society. It facilitates collaboration and information flow, and has emerged as a crucial instrument for business and government organizations alike. Online platforms are being used extensively for work, entertainment, collaboration and communication. These positive aspects are, however, overshadowed by their shortcomings. With the constant evolution and expansion of social media platforms, a significant shift has occurred in the way some humans interact with others. Online social media platforms have inadvertently emerged as networking hubs for individuals exhibiting antisocial behaviour (ASB), putting vulnerable groups of people at risk. Online ASB is one of the most common personality disorders seen on these platforms, and is challenging to address due to its complexities. Human rights are the keystones of sturdy communities. Respect for these rights, based on the values of equality, dignity and appreciation, is vital and an integral part of strong societies. Every individual has a fundamental right to freely participate in all legal activities, including socializing in both the physical and online worlds. ASB, ranging from threatening, aggression, disregard for safety and failure to conform to lawful behaviour, deter such participation and must be dealt with accordingly. Online ASB is the manifestation of everyday sadism and violates the elementary rights (to which all individuals are entitled) of Its victims. Not only does it interfere with social participation, it also forces individuals into anxiety, depression and suicidal ideation. The consequences of online ASB for victims' and families' mental health are often far-reaching, severe and long-lasting, and can even create a social welfare burden. The behaviour can, not only inhibit constructive user participation with social media, it defies the sole purpose of these platforms: to facilitate communication and collaboration at scale. ASB needs to be detected and curtailed, encouraging fair user participation and preventing vulnerable groups of people from falling victim to such behaviour. Considering the large variety, high contribution speed and high volume of social media data, a manual approach to detecting and classifying online ASB is not a feasible option. Furthermore, a traditional approach based on a pre-defined lexicon and rule-based feature engineering may still fall short of capturing the subtle and latent features of the diverse and enormous volume of social media data. State-of-the-art deep learning, which is a sub-field of machine learning, has produced astonishing results in numerous text classification undertakings, and has outperformed the aforementioned techniques. However, given the complexity associated with implementing deep learning algorithms and their relatively recent development, models based on the technology have significantly been under-utilized when working with online behaviour studies. Specifically, no prior study has undertaken the task of fine-grained and user- generated social media content classification related to online ASB utilizing the deep learning technology. This thesis introduces a novel three-part framework, based on deep learning, with the objectives of: i) Detecting behaviour and personality traits from online platforms; (ii) Binary detection of online antisocial behaviour and (iii) Multiclass antisocial behaviour detection from social media corpora. A high accuracy classification model is presented proceeded by extensive experimentation with different machine learning and deep learning algorithms, fine tuning of hyper- parameters, and using different feature extraction techniques. Disparate behaviour and personality traits, including ASB and its four variants are detected with a significantly high accuracy from online social media platforms. Along the way, three medium-sized gold standard benchmark data set have been constructed. The proposed approach is seminal and offers a step towards efficient and effective methods of online ASB prevention. The approach and the findings within this thesis are significant and crucial as these lay the groundwork for detecting and eliminating all types of undesirable and unacceptable social behaviour traits from online platforms. Keyword: 4602 Artificial intelligence; algorithms; antisocial behaviour; computational techniques; deep learning; feature extraction; Institute for Sustainable Industries and Liveable Cities; machine learning; online platforms; social media; text mining URL: https://vuir.vu.edu.au/42639/1/SINGH_Ravinder-thesis_nosignature.pdf https://vuir.vu.edu.au/42639/ BASE Hide details 8 Linguistic distance and market integration in India Fenske, James; Kala, Namrata. - : Cambridge University Press, 2021 BASE Show details 9 "Nice, threat-free, and child-friendly": Gendered discourses in the speech and language therapy profession Litosseliti, L.; Leadbeater, C.. - : Routledge, 2020 BASE Show details 10 Ефективність витрат на впровадження нових сортів і гібридів у рослинництві ... : Cost efficiency for implementation of new varieties and hybrids in plant growing ... Oliynyk, Oleksandr; Makohon, Vitaliy; Mishchenko, Vitaliya. - : Unknown, 2020 BASE Show details 11 Формування ціни на молоко в Україні в контексті світових тенденцій ... : Formation of milk prices in Ukraine in the context of world trends ... Shyian, Natalia; Kolosha, Valerii; Shyian, Natalia. - : Unknown, 2020 BASE Show details 12 Le #Bookporn sur Instagram : poétique d’une littérature ornementale ? Siguier, Marine In: Communication & langages, N 203, 1, 2020-02-27, pp.63-80 (2020) BASE Show details 13 Is talking work doing work? Angouri, Jo; Machili, Ifigenia. - : Routledge, 2020 BASE Show details 14 “Trust but verify”: how middle managers in a multinational use proverbs to translate an imported management concept Tuulikki Outila, Virpi; Piekkari, Rebecca; Mihailova, Irina. - : Sage Publications Ltd., 2020 BASE Show details 15 A social constructionist approach to female entrepreneurs' media representation and experiences in Saudi Arabia Sonbol, Deema. - 2020 BASE Show details 16 Producing Subjects: A Theoretical Examination of the Effects of Neoliberal Human Capital Theory on Subjectivity and Subject Formation Gordon, Paddy. - 2020 BASE Show details 17 The Role of Interpreters in Healthcare in Australia Mahdavi, Mojdeh. - 2020 BASE Show details 18 Work Integrated Learning: A Case Study of Chinese Students in an Australian University Nguyen, Tien Cuong. - 2020 BASE Show details 19 Reimagining the workforce: community perceptions of careers working with rolling stock Ooi, Daniel; Cormick, Craig. - : Rail Manufacturing Cooperative Research Centre, 2020 BASE Show details 20 Negotiating imitation : examining the interactions of consultants and clients to understand institutionalization as translation Gill, M.; McGivern, Gerry; Study, A.. - : Wiley-Blackwell Publishing Ltd., 2020 BASE Show details Page: 1 2 3 4 5...12

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