scholarly journals Lingo-Entrainment: The Natural Language Surveillance Of Smartphone Users

2021 ◽  
Author(s):  
Nicholas Fazio

<div><br></div><div>This thesis examines the neuro-cultural implications of: (1) language capture and commodification; and (2) neurological entrainment, two processes that I contend have coextensively emerged with the development of smartphones in a way that is profitable for major smartphone manufacturers and privileged third parties. The phrase “neurological entrainment” in this context refers specifically to the smartphone’s ability to exert affective behavioural control over smartphone users by altering their neurochemical states. I aim to situate this established neurological phenomenon alongside a less scrutinized transformation: that of the smartphone into a site of language-capture. By “language capture” I refer to the intake, collection and brokering of smartphone users’ natural language data and metadata. The goal of this thesis is to contextualize the interfusing of these entrainment and capture processes that cunningly form lucrative linguistic relationships between smartphone users and their devices. This study, through a comparative content analysis of data policies, privacy protocols, and privacy related promotional material pertaining to two major smartphone manufacturers (e.g., Apple and Samsung), substantiates the claim that the foundational documents of each device openly permit this productive union, with its doubled effect of neurological pacification and linguistic divestment. divestment. It also situates these findings within the grander lingo-entrainment systems that influence the future of our living language, and that coincide with Deleuzian premonitions about societies of control.<br></div>

2021 ◽  
Author(s):  
Nicholas Fazio

<div><br></div><div>This thesis examines the neuro-cultural implications of: (1) language capture and commodification; and (2) neurological entrainment, two processes that I contend have coextensively emerged with the development of smartphones in a way that is profitable for major smartphone manufacturers and privileged third parties. The phrase “neurological entrainment” in this context refers specifically to the smartphone’s ability to exert affective behavioural control over smartphone users by altering their neurochemical states. I aim to situate this established neurological phenomenon alongside a less scrutinized transformation: that of the smartphone into a site of language-capture. By “language capture” I refer to the intake, collection and brokering of smartphone users’ natural language data and metadata. The goal of this thesis is to contextualize the interfusing of these entrainment and capture processes that cunningly form lucrative linguistic relationships between smartphone users and their devices. This study, through a comparative content analysis of data policies, privacy protocols, and privacy related promotional material pertaining to two major smartphone manufacturers (e.g., Apple and Samsung), substantiates the claim that the foundational documents of each device openly permit this productive union, with its doubled effect of neurological pacification and linguistic divestment. divestment. It also situates these findings within the grander lingo-entrainment systems that influence the future of our living language, and that coincide with Deleuzian premonitions about societies of control.<br></div>


2020 ◽  
Author(s):  
Wanqi Gong ◽  
Qin Guo

BACKGROUND Physician-patient conflicts have increased more than ten times from the 2000s to 2010s in China and arouse heated discussion on microblog. However, little is known about similarities and differences among views of opinion leaders from the general public, physician, and media regarding physician-patient conflict issues on microblog. OBJECTIVE This study aimed to explore how opinion leaders from physician, the general public, and media areas framed the posts on major physician-patient conflict issues on microblog. Findings will provide more objective evidence of trilateral (health profession, general public, and media) attitudes and perspectives on physician-patient conflicts. METHODS A comparative content analysis was conducted to examine the posts (N=545) from microblog opinion leaders regarding the major physician-patient conflicts in China from 2012 to 2017. RESULTS Media used significantly more conflict (M=0.16) and attribution frames (M=0.16) but least popularize medical science frame (M=0.03) than physician (M=0.06, p<0.001; M=0.06, p<0.001; M=0.08, p=0.035, respectively) and general public opinion leaders (M=0.06, p<0.001; M=0.09, p=0.003; M=0.12, p<0.001, respectively). There are no significant differences in the use of conflict, cooperation, negative and popular science frames between general public and physician opinion leaders. CONCLUSIONS This imbalanced use of frames by media would cultivate and reinforce the public perception of physician-patient contradiction. The physician and general public opinion leaders share some commons in post frames, implying that they do not have a fundamental discrepancy on physician-patient conflict issues. It is essential to guide and encourage media microbloggers to make every effort to popularize medical science and improve physician-patient relationships.


2021 ◽  
Vol 21 (2) ◽  
pp. 1-25
Author(s):  
Pin Ni ◽  
Yuming Li ◽  
Gangmin Li ◽  
Victor Chang

Cyber-Physical Systems (CPS), as a multi-dimensional complex system that connects the physical world and the cyber world, has a strong demand for processing large amounts of heterogeneous data. These tasks also include Natural Language Inference (NLI) tasks based on text from different sources. However, the current research on natural language processing in CPS does not involve exploration in this field. Therefore, this study proposes a Siamese Network structure that combines Stacked Residual Long Short-Term Memory (bidirectional) with the Attention mechanism and Capsule Network for the NLI module in CPS, which is used to infer the relationship between text/language data from different sources. This model is mainly used to implement NLI tasks and conduct a detailed evaluation in three main NLI benchmarks as the basic semantic understanding module in CPS. Comparative experiments prove that the proposed method achieves competitive performance, has a certain generalization ability, and can balance the performance and the number of trained parameters.


2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.


1983 ◽  
Vol 9 (1) ◽  
pp. 233-244
Author(s):  
Bonnie Webber ◽  
Aravind Joshi ◽  
Eric Mays ◽  
Kathleen McKeown

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