Literatura científica selecionada sobre o tema "Online manipulation"
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Artigos de revistas sobre o assunto "Online manipulation"
Abouhilal, Abdelmoula, Amine Moulay Taj, Naima Taifi e Abdessamad Malaoui. "Using Online Remote Laboratory in Agriculture Engineering and Electronic Training". International Journal of Online and Biomedical Engineering (iJOE) 15, n.º 06 (29 de março de 2019): 66. http://dx.doi.org/10.3991/ijoe.v15i06.9699.
Texto completo da fonteChen, Yan, Tianwei Tang, Yongjian Li e Di Fan. "Does interest alignment between hotels and online travel agencies intensify review manipulations?" Industrial Management & Data Systems 121, n.º 6 (16 de março de 2021): 1435–56. http://dx.doi.org/10.1108/imds-11-2020-0657.
Texto completo da fonteHolota, Taras. "Manipulative messages in the headlines of media sources". Ukrainian Linguistics, n.º 53 (2023): 135–48. http://dx.doi.org/10.17721/um/53(2023).135-148.
Texto completo da fontePangku, Flantino, e Qomarrudin Husni. "Tinjauan Hukum terhadap Manipulasi Informasi Elektronik oleh Pengemudi Ojek Online (Putusan Nomor 295/Pid.Sus/2020/Pn Mlg)". Bhirawa Law Journal 3, n.º 2 (30 de novembro de 2022): 102–9. http://dx.doi.org/10.26905/blj.v3i2.8914.
Texto completo da fonteTarvirdizadeh, Bahram, Khalil Alipour e Alireza Hadi. "An algorithm for dynamic object manipulation by a flexible link robot". Engineering Computations 33, n.º 5 (4 de julho de 2016): 1508–29. http://dx.doi.org/10.1108/ec-06-2015-0145.
Texto completo da fonteGorchakova, Olesya Yu, Evgenia Yu Liventsova e Anastasia V. Larionova. "Educational game as a practice for developing students' critical thinking skills regarding manipulations on the Internet". Perspectives of Science and Education 68, n.º 2 (1 de maio de 2024): 147–68. http://dx.doi.org/10.32744/pse.2024.2.9.
Texto completo da fonteSabbagh Novin, Roya, Amir Yazdani, Andrew Merryweather e Tucker Hermans. "A model predictive approach for online mobile manipulation of non-holonomic objects using learned dynamics". International Journal of Robotics Research 40, n.º 4-5 (15 de fevereiro de 2021): 815–31. http://dx.doi.org/10.1177/0278364921992793.
Texto completo da fonteJin Ma, Yoon, e Hyun-Hwa Lee. "Consumer responses toward online review manipulation". Journal of Research in Interactive Marketing 8, n.º 3 (11 de agosto de 2014): 224–44. http://dx.doi.org/10.1108/jrim-04-2013-0022.
Texto completo da fonteErdogmus, D., K. E. Hild e J. C. Principe. "Online entropy manipulation: stochastic information gradient". IEEE Signal Processing Letters 10, n.º 8 (agosto de 2003): 242–45. http://dx.doi.org/10.1109/lsp.2003.814400.
Texto completo da fontePeng, Ling, Geng Cui, Mengzhou Zhuang e Chunyu Li. "Consumer perceptions of online review deceptions: an empirical study in China". Journal of Consumer Marketing 33, n.º 4 (13 de junho de 2016): 269–80. http://dx.doi.org/10.1108/jcm-01-2015-1281.
Texto completo da fonteTeses / dissertações sobre o assunto "Online manipulation"
Hardaker, Claire. "Trolling in computer-mediated communication : impoliteness, desception and manipulation online". Thesis, Lancaster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.661132.
Texto completo da fonteTan, Meifang. "An online interactive spreadsheet approach to data analysis and manipulation". [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000614.
Texto completo da fonteZHUANG, Mengzhou. "Buyer beware : consumer response to manipulations of online product reviews". Digital Commons @ Lingnan University, 2014. https://commons.ln.edu.hk/cds_etd/9.
Texto completo da fonteMontes, Kevin Steven. "A comparison of online and offline gamblers| An experimental manipulation of escape". Thesis, The University of North Dakota, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3596712.
Texto completo da fonteFew studies have examined differences between online and offline gamblers, with no study to date enlisting the participation of online gamblers in a laboratory-based study. Moreover, research indicates that there is a link between escape and problem gambling, however, no study to date has examined this relationship in online gamblers using an experimental design. The current study is the first to address these gaps in the literature. All 420 participants participated in the non-experimental phase of the study, and 50 participants participated in the experimental phase. All participants completed a demographics form, SOGS, PGSI, GFA-R, BDI-SF, discounting task, and a gambling motivations questionnaire. In the experimental phase, participants' mood state was manipulated using hypothetical scenarios before gambling. The results indicated that online gamblers had a higher rate of problem-gambling severity than offline gamblers, and that online gamblers have used gambling to escape to a greater degree than offline gamblers. In terms of differences in the gambling behavior of online and offline gamblers, online gamblers were found to have played more hands and committed more errors than offline gamblers. No statistically significant results were found across mood conditions, or when the interaction between participants' gambler status and mood condition was examined, although trends in the hypothesized direction were observed. No statistically significant group differences were observed when online gamblers' rate of discounting certain outcomes was compared to offline gamblers' rates. Taken together, these results suggest that some of the differences between online and offline gamblers may help explain the higher prevalence of problem gambling among online gamblers. Although gambling to escape was found to be positively correlated with problem-gambling severity, the experimental results did not support this finding. Future studies should investigate the relationship between escape and problem gambling in online gamblers by using a different manipulation. A more knowledgeable understanding of the differences between online and offline gamblers will lead to better treatment outcomes for individuals who suffer from a gambling addiction.
Shen, Dakun. "Malicious Manipulation in Service-Oriented Network, Software, and Mobile Systems: Threats and Defenses". Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7938.
Texto completo da fonteLewis, Amber N. "Exploring Communication Identity Management on Facebook". University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1407406548.
Texto completo da fonteSatya, Prudhvi Ratna Badri. "Fake Likers Detection on Facebook". DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4961.
Texto completo da fonteDesormeaux, Kevin. "Temporal models of motions and forces for Human-Robot Interactive manipulation". Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30221.
Texto completo da fonteIt was in the 70s when the interest for robotics really emerged. It was barely half a century ago, and since then robots have been replacing humans in the industry. This robot-oriented solution doesn't come without drawbacks as full automation requires time-consuming programming as well as rigid environments. With the increased need for adaptability and reusability of assembly systems, robotics is undergoing major changes and see the emergence of a new type of collaboration between humans and robots. Human-Robot collaboration get the best of both world by combining the respective strengths of humans and robots. But, to include the human as an active agent in these new collaborative workspaces, safe and flexible robots are required. It is in this context that we can apprehend the crucial role of motion generation in tomorrow's robotics. For the emergence of human-robot cooperation, robots have to generate motions ensuring the safety of humans, both physical and physchological. For this reason motion generation has been a restricting factor to the growth of robotics in the past. Trajectories are excellent candidates in the making of desirable motions designed for collaborative robots, because they allow to simply and precisely describe the motions. Smooth trajectories are well known to provide safe motions with good ergonomic properties. In this thesis we propose an Online Trajectory Generation algorithm based on sequences of segment of third degree polynomial functions to build smooth trajectories. These trajectories are built from arbitrary initial and final conditions, a requirement for robots to be able to react instantaneously to unforeseen events. Our approach built on a constrained-jerk model offers performance-oriented solutions : the trajectories are time-optimal under safety constraints. These safety constraints are kinematic constraints that are task and context dependent and must be specified. To guide the choice of these constraints we investigated the role of kinematics in the definition of ergonomics properties of motions. We also extended our algorithm to cope with non-admissible initial configurations, opening the way to trajectory generation under non-constant motion constraints. [...]
Yamak, Zaher Rabah. "Multiple identities detection in online social media". Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR01/document.
Texto completo da fonteSince 2004, online social medias have grown hugely. This fast development had interesting effects to increase the connection and information exchange between users, but some negative effects also appeared, including fake accounts number growing day after day. Sockpuppets are multiple fake accounts created by a same user. They are the source of several types of manipulation such as those created to praise, defend or support a person or an organization, or to manipulate public opinion. In this thesis, we present SocksCatch, a complete process to detect and group sockpuppets, which is composed of three main phases: the first phase objective is the process preparation and data pre-processing; the second phase objective is the detection of the sockpuppet accounts using machine learning algorithms; the third phase objective is the grouping of sockpuppet accounts created by a same user using community detection algorithms. These phases are declined in three stages: a model stage to represent online social medias, where we propose a general model of social media dedicated to the detection and grouping of sockpuppets; an adaptation stage to adjust the process to a particular social media, where we instantiate and evaluate the SocksCatch model on a selected social media; and a real-time stage to detect and group the sockpuppets online, where SocksCatch is deployed online on a selected social media. Experiments have been performed on the adaptation stage using real data crawled from English Wikipedia. In order to find the best machine learning algorithm for sockpuppet's detection phase, the results of six machine learning algorithms are compared. In addition, they are compared with the literature, and the results show that our proposition improves the accuracy of the detection of sockpuppets. Furthermore, the results of five community detection algorithms are compared for sockpuppet's grouping phase, in order to find the best community detecton algorithm that will be used in real-time stage
Johnsson, Anna, Mie Nilsson e Annie Uttberg. "Webb-spårning eller Urspårning? : - En kvalitativ studie inom etisk marknadsföring". Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-34429.
Texto completo da fonteLivros sobre o assunto "Online manipulation"
Jongepier, Fleur, e Michael Klenk. The Philosophy of Online Manipulation. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425.
Texto completo da fonteAttrill, Alison. The Manipulation of Online Self-Presentation. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137483416.
Texto completo da fonteMargaret, Fieldhouse, Do Thien e British Library. Research and Development Dept., eds. A graphical interface for Okapi: The design and evaluation of an online catalogue system with direct manipulation interaction for subject access. [London]: British Library Research and Development Dept., 1994.
Encontre o texto completo da fonteFerguson, Ryan, Allison Ouimet, Olivia Gardam, Jeremy Oueis e Amélie Burla. Conducting Experimental Psychopathology Research in an Experimenter-Guided Online Environment, Part II: Practical and Technical Considerations for Experimental Manipulations. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529604085.
Texto completo da fonteJongepier, Fleur, e Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Encontre o texto completo da fonteJongepier, Fleur, e Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Encontre o texto completo da fonteJongepier, Fleur, e Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Encontre o texto completo da fontePhilosophy of Online Manipulation. Taylor & Francis Group, 2022.
Encontre o texto completo da fonteHardaker, C. Antisocial Network: Aggression, Deception, and Manipulation Online. Palgrave Macmillan, 2017.
Encontre o texto completo da fonteInstitute, Strategic Studies, e Tim Hwang. Maneuver and Manipulation: On the Military Strategy of Online Information Warfare. Independently Published, 2019.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Online manipulation"
Jongepier, Fleur, e Michael Klenk. "Online manipulation". In The Philosophy of Online Manipulation, 15–48. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-3.
Texto completo da fonteWildman, Nathan, Natascha Rietdijk e Alfred Archer. "Online affective manipulation". In The Philosophy of Online Manipulation, 311–26. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-19.
Texto completo da fonteWiktor, Jan W., e Katarzyna Sanak-Kosmowska. "Manipulation in online advertising". In Information Asymmetry in Online Advertising, 53–82. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003134121-4.
Texto completo da fonteGrill, Kalle. "Regulating online defaults". In The Philosophy of Online Manipulation, 373–91. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-23.
Texto completo da fonteGorin, Moti. "Gamification, Manipulation, and Domination1". In The Philosophy of Online Manipulation, 199–215. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-12.
Texto completo da fonteCapasso, Marianna. "Manipulation as digital invasion". In The Philosophy of Online Manipulation, 180–98. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-11.
Texto completo da fonteKlenk, Michael. "Manipulation, injustice, and technology". In The Philosophy of Online Manipulation, 108–31. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-7.
Texto completo da fonteNys, Thomas, e Bart Engelen. "Commercial Online Choice Architecture". In The Philosophy of Online Manipulation, 135–55. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-9.
Texto completo da fonteCappuccio, Massimiliano L., Constantine Sandis e Austin Wyatt. "Online manipulation and agential risk". In The Philosophy of Online Manipulation, 72–90. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-5.
Texto completo da fonteKeeling, Geoff, e Christopher Burr. "Digital Manipulation and Mental Integrity". In The Philosophy of Online Manipulation, 253–71. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-15.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Online manipulation"
Lee, Shun-Yang, Liangfei Qiu e Andrew Whinston. "The Perils of Online Manipulation". In 2015 48th Hawaii International Conference on System Sciences (HICSS). IEEE, 2015. http://dx.doi.org/10.1109/hicss.2015.577.
Texto completo da fonteFayazi, Amir, Kyumin Lee, James Caverlee e Anna Squicciarini. "Uncovering Crowdsourced Manipulation of Online Reviews". In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2767742.
Texto completo da fonteBadawy, Adam, Kristina Lerman e Emilio Ferrara. "Who Falls for Online Political Manipulation?" In WWW '19: The Web Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308560.3316494.
Texto completo da fonteScarcia, Umberto, Katharina Hertkorn, Claudio Melchiorri, Gianluca Palli e Thomas Wimbock. "Local online planning of coordinated manipulation motion". In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015. http://dx.doi.org/10.1109/icra.2015.7140052.
Texto completo da fonteDohmann, Pablo Budde Gen, Armin Lederer, Marcel Disemond e Sandra Hirche. "Distributed Bayesian Online Learning for Cooperative Manipulation". In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9683772.
Texto completo da fonteKappler, Daniel, Peter Pastor, Mrinal Kalakrishnan, Manuel Wuthrich e Stefan Schaal. "Data-Driven Online Decision Making for Autonomous Manipulation". In Robotics: Science and Systems 2015. Robotics: Science and Systems Foundation, 2015. http://dx.doi.org/10.15607/rss.2015.xi.044.
Texto completo da fonteJenkins, Merritt, e George Kantor. "Online detection of occluded plant stalks for manipulation". In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. http://dx.doi.org/10.1109/iros.2017.8206404.
Texto completo da fonteMelnik, Nataliya. "Political Manipulation In Online Media: An Experimental Study". In International Scientific and Practical Conference «MAN. SOCIETY. COMMUNICATION». European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.05.02.148.
Texto completo da fonteJava, Sandhya, Fathima Linsha Basheer, Sadia Riaz, Manindar Jeet Kaur e Arif Mushtaq. "Detection of Online Manipulation to Prevent Users Victimization". In 2019 Amity International Conference on Artificial Intelligence (AICAI). IEEE, 2019. http://dx.doi.org/10.1109/aicai.2019.8701330.
Texto completo da fonteSaburova, Natalya. "MANIPULATION THROUGH SENSATIONALISM IN MODERN ONLINE TABLOID TEXT". In 5th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS SGEM2018. STEF92 Technology, 2018. http://dx.doi.org/10.5593/sgemsocial2018h/31/s10.038.
Texto completo da fonteRelatórios de organizações sobre o assunto "Online manipulation"
Mayzlin, Dina, Yaniv Dover e Judith Chevalier. Promotional Reviews: An Empirical Investigation of Online Review Manipulation. Cambridge, MA: National Bureau of Economic Research, agosto de 2012. http://dx.doi.org/10.3386/w18340.
Texto completo da fonteYilmaz, Ihsan, e Kenes Bulent. Digital Authoritarianism in Turkish Cyberspace: A Study of Deception and Disinformation by the AKP Regime’s AKtrolls and AKbots. Populism & Politics (P&P), novembro de 2023. http://dx.doi.org/10.55271/pp0026.
Texto completo da fonteYatsymirska, Mariya, e Bohdan Markevych. MEDIA TEXTS AND PERSUASION. Ivan Franko National University of Lviv, março de 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12170.
Texto completo da fonte