Results 121 to 130 of about 4,207,378 (350)
Towards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN [PDF]
arXiv, 2017 Nowadays, deep learning has been widely used. In natural language learning, the analysis of complex semantics has been achieved because of its high degree of flexibility. The deceptive opinions detection is an important application area in deep learning model, and related mechanisms have been given attention and researched.
arxiv
Transparency or Map‐Washing? Digital Geospatial Visualisation Tools in the Palm Oil Industry
Business Strategy and the Environment, EarlyView.ABSTRACT We introduce the notion of map‐washing and ask whether digital geospatial visualisation (DGV) tools distort information or provide greater supply chain transparency. Map‐washing explains a process of disclosing spatial information that has little or no value to the intended users, but rather creates, conforms to or distorts a particular ...
Rory Padfield +5 more
wiley +1 more source
TangleNet: An advanced cyber deception model based on reinforcement learning [PDF]
Revista Română de Informatică și AutomaticăDetecting network attacks is becoming a challenging task given that they are getting more complex. Almost all modern security systems can identify attacks in the early and final, but not in the middle stages.
Tahani GAZDAR +4 more
doaj +1 more source
Content, context, cues, and demeanor in deception detection. [PDF]
Front Psychol, 2022 Levine TR.
europepmc +1 more source
Phishing for Phools in the Internet of Things: Modeling One-to-Many Deception using Poisson Signaling Games [PDF]
arXiv, 2017 Strategic interactions ranging from politics and pharmaceuticals to e-commerce and social networks support equilibria in which agents with private information manipulate others which are vulnerable to deception. Especially in cyberspace and the Internet of things, deception is difficult to detect and trust is complicated to establish.
arxiv
Business Strategy and the Environment, EarlyView.ABSTRACT With firms' increasing adoption of green marketing strategies, greenwashing is also becoming more prevalent. Despite the negative consequences of greenwashing, limited studies have investigated its impact on attitude and consumption. Earlier studies have used greenwashing as a one‐dimensional construct and do not distinguish between different ...
Anis Ur Rehman +4 more
wiley +1 more source
NEW APPROACHES IN DECEPTION DETECTION I. BACKGROUND AND THEORETICAL FRAMEWORK [PDF]
Papeles del Psicólogo, 2015 Deception detection research has traditionally assumed that when humans deceive they spontaneously display tell-tale behavioural indicators. However, recent meta-analytical integrations reveal that such indicators do not abound. This has produced a shift
Jaume Masip, Carmen Herrero
doaj
When lies are mostly truthful: automated verbal deception detection for embedded lies [PDF]
arXivBackground: Verbal deception detection research relies on narratives and commonly assumes statements as truthful or deceptive. A more realistic perspective acknowledges that the veracity of statements exists on a continuum with truthful and deceptive parts being embedded within the same statement.
arxiv
An Approach for Intent Identification by Building on Deception Detection [PDF]
, 2005 Judee K. Burgoon +11 more
openalex +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Benefit corporations are businesses characterised by a dual purpose: profit and the common good. While these businesses are expected to pursue a high level of transparency, some studies have noted ambiguous and inconsistent behaviour in the quality of their reports and communication with stakeholders.
Vincenzo Riso +2 more
wiley +1 more source