Academic literature on the topic 'Online manipulation'
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Journal articles on the topic "Online manipulation"
Abouhilal, Abdelmoula, Amine Moulay Taj, Naima Taifi, and Abdessamad Malaoui. "Using Online Remote Laboratory in Agriculture Engineering and Electronic Training." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 06 (March 29, 2019): 66. http://dx.doi.org/10.3991/ijoe.v15i06.9699.
Full textChen, Yan, Tianwei Tang, Yongjian Li, and Di Fan. "Does interest alignment between hotels and online travel agencies intensify review manipulations?" Industrial Management & Data Systems 121, no. 6 (March 16, 2021): 1435–56. http://dx.doi.org/10.1108/imds-11-2020-0657.
Full textHolota, Taras. "Manipulative messages in the headlines of media sources." Ukrainian Linguistics, no. 53 (2023): 135–48. http://dx.doi.org/10.17721/um/53(2023).135-148.
Full textPangku, Flantino, and Qomarrudin Husni. "Tinjauan Hukum terhadap Manipulasi Informasi Elektronik oleh Pengemudi Ojek Online (Putusan Nomor 295/Pid.Sus/2020/Pn Mlg)." Bhirawa Law Journal 3, no. 2 (November 30, 2022): 102–9. http://dx.doi.org/10.26905/blj.v3i2.8914.
Full textTarvirdizadeh, Bahram, Khalil Alipour, and Alireza Hadi. "An algorithm for dynamic object manipulation by a flexible link robot." Engineering Computations 33, no. 5 (July 4, 2016): 1508–29. http://dx.doi.org/10.1108/ec-06-2015-0145.
Full textGorchakova, Olesya Yu, Evgenia Yu Liventsova, and 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, no. 2 (May 1, 2024): 147–68. http://dx.doi.org/10.32744/pse.2024.2.9.
Full textSabbagh Novin, Roya, Amir Yazdani, Andrew Merryweather, and Tucker Hermans. "A model predictive approach for online mobile manipulation of non-holonomic objects using learned dynamics." International Journal of Robotics Research 40, no. 4-5 (February 15, 2021): 815–31. http://dx.doi.org/10.1177/0278364921992793.
Full textJin Ma, Yoon, and Hyun-Hwa Lee. "Consumer responses toward online review manipulation." Journal of Research in Interactive Marketing 8, no. 3 (August 11, 2014): 224–44. http://dx.doi.org/10.1108/jrim-04-2013-0022.
Full textErdogmus, D., K. E. Hild, and J. C. Principe. "Online entropy manipulation: stochastic information gradient." IEEE Signal Processing Letters 10, no. 8 (August 2003): 242–45. http://dx.doi.org/10.1109/lsp.2003.814400.
Full textPeng, Ling, Geng Cui, Mengzhou Zhuang, and Chunyu Li. "Consumer perceptions of online review deceptions: an empirical study in China." Journal of Consumer Marketing 33, no. 4 (June 13, 2016): 269–80. http://dx.doi.org/10.1108/jcm-01-2015-1281.
Full textDissertations / Theses on the topic "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.
Full textTan, Meifang. "An online interactive spreadsheet approach to data analysis and manipulation." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000614.
Full textZHUANG, Mengzhou. "Buyer beware : consumer response to manipulations of online product reviews." Digital Commons @ Lingnan University, 2014. https://commons.ln.edu.hk/cds_etd/9.
Full textMontes, 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.
Full textFew 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.
Full textLewis, Amber N. "Exploring Communication Identity Management on Facebook." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1407406548.
Full textSatya, Prudhvi Ratna Badri. "Fake Likers Detection on Facebook." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4961.
Full textDesormeaux, Kevin. "Temporal models of motions and forces for Human-Robot Interactive manipulation." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30221.
Full textIt 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.
Full textSince 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, and 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.
Full textBooks on the topic "Online manipulation"
Jongepier, Fleur, and Michael Klenk. The Philosophy of Online Manipulation. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425.
Full textAttrill, Alison. The Manipulation of Online Self-Presentation. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137483416.
Full textMargaret, Fieldhouse, Do Thien, and 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.
Find full textFerguson, Ryan, Allison Ouimet, Olivia Gardam, Jeremy Oueis, and 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.
Full textJongepier, Fleur, and Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Find full textJongepier, Fleur, and Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Find full textJongepier, Fleur, and Michael Klenk. Philosophy of Online Manipulation. Taylor & Francis Group, 2022.
Find full textPhilosophy of Online Manipulation. Taylor & Francis Group, 2022.
Find full textHardaker, C. Antisocial Network: Aggression, Deception, and Manipulation Online. Palgrave Macmillan, 2017.
Find full textInstitute, Strategic Studies, and Tim Hwang. Maneuver and Manipulation: On the Military Strategy of Online Information Warfare. Independently Published, 2019.
Find full textBook chapters on the topic "Online manipulation"
Jongepier, Fleur, and Michael Klenk. "Online manipulation." In The Philosophy of Online Manipulation, 15–48. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-3.
Full textWildman, Nathan, Natascha Rietdijk, and 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.
Full textWiktor, Jan W., and 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.
Full textGrill, Kalle. "Regulating online defaults." In The Philosophy of Online Manipulation, 373–91. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003205425-23.
Full textGorin, 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.
Full textCapasso, 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.
Full textKlenk, 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.
Full textNys, Thomas, and 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.
Full textCappuccio, Massimiliano L., Constantine Sandis, and 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.
Full textKeeling, Geoff, and 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.
Full textConference papers on the topic "Online manipulation"
Lee, Shun-Yang, Liangfei Qiu, and 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.
Full textFayazi, Amir, Kyumin Lee, James Caverlee, and 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.
Full textBadawy, Adam, Kristina Lerman, and 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.
Full textScarcia, Umberto, Katharina Hertkorn, Claudio Melchiorri, Gianluca Palli, and 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.
Full textDohmann, Pablo Budde Gen, Armin Lederer, Marcel Disemond, and 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.
Full textKappler, Daniel, Peter Pastor, Mrinal Kalakrishnan, Manuel Wuthrich, and 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.
Full textJenkins, Merritt, and 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.
Full textMelnik, 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.
Full textJava, Sandhya, Fathima Linsha Basheer, Sadia Riaz, Manindar Jeet Kaur, and 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.
Full textSaburova, 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.
Full textReports on the topic "Online manipulation"
Mayzlin, Dina, Yaniv Dover, and Judith Chevalier. Promotional Reviews: An Empirical Investigation of Online Review Manipulation. Cambridge, MA: National Bureau of Economic Research, August 2012. http://dx.doi.org/10.3386/w18340.
Full textYilmaz, Ihsan, and 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), November 2023. http://dx.doi.org/10.55271/pp0026.
Full textYatsymirska, Mariya, and Bohdan Markevych. MEDIA TEXTS AND PERSUASION. Ivan Franko National University of Lviv, March 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12170.
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