TECHNOLOGY SHAPES THE FUTURE OF HUMAN LANGUAGE

<div>Language has undergone a profound transformation due to rapid</div> <div>technological advancements, significantly blurring the traditional distinctions</div> <div>between written and spoken communication. This thesis delves into the multifaceted</div> <div>influence of digital tools, including social media platforms, artificial intelligence (AI)</div> <div>applications, and voice-activated assistants, on the evolution of language. Focusing</div> <div>on key linguistic phenomena such as internet vernacular, the use of emoticons and</div> <div>emojis, and the impact of predictive text, this research explores how these</div> <div>technologies are shaping contemporary language practices. The study examines how</div> <div>online vernacular, characterized by abbreviations, acronyms, and neologisms, reflects</div> <div>the dynamic and creative nature of digital communication. It further analyzes the role</div> <div>of emoticons and emojis in conveying emotions and nonverbal cues in online</div> <div>interactions, investigating their contribution to multimodal communication. The</div> <div>thesis also investigates the impact of predictive text and autocorrection features on</div> <div>writing styles and language accuracy, considering both the benefits and potential</div> <div>drawbacks of these tools. While these technological advancements offer increased</div> <div>efficiency and accessibility in communication, they also raise important questions</div> <div>regarding the interpretation of tone and intent in digital contexts, as well as the</div> <div>potential for exacerbating existing disparities in digital access and literacy.</div> <div>Addressing concerns about the simplification of language, this research argues that</div> <div>digital communication fosters linguistic adaptability and innovation rather than</div> <div>decline, highlighting the creative ways in which individuals adapt language to suit the</div> <div>demands of online interaction. Furthermore, considering the increasing prevalence of</div> <div>AI in human interaction, this thesis emphasizes the critical importance of</div> <div>understanding the long-term effects of these technologies on language development,</div> <div>communication patterns, and the very nature of human relationships in the digital age.</div> <div>751The study concludes by suggesting areas for future research, including the ethical</div> <div>implications of AI-generated language and the evolving relationship between humans</div> <div>and machines in the context of communication.</div>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-06
DOI
https://doi.org/10.5281/zenodo.14981739
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
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article

TECHNOLOGY SHAPES THE FUTURE OF HUMAN LANGUAGE

Zenodo (CERN European Organization for Nuclear Research)
Digital Communication and Language
article

TECHNOLOGY SHAPES THE FUTURE OF HUMAN LANGUAGE

article en

Abstract

<div>Language has undergone a profound transformation due to rapid</div> <div>technological advancements, significantly blurring the traditional distinctions</div> <div>between written and spoken communication. This thesis delves into the multifaceted</div> <div>influence of digital tools, including social media platforms, artificial intelligence (AI)</div> <div>applications, and voice-activated assistants, on the evolution of language. Focusing</div> <div>on key linguistic phenomena such as internet vernacular, the use of emoticons and</div> <div>emojis, and the impact of predictive text, this research explores how these</div> <div>technologies are shaping contemporary language practices. The study examines how</div> <div>online vernacular, characterized by abbreviations, acronyms, and neologisms, reflects</div> <div>the dynamic and creative nature of digital communication. It further analyzes the role</div> <div>of emoticons and emojis in conveying emotions and nonverbal cues in online</div> <div>interactions, investigating their contribution to multimodal communication. The</div> <div>thesis also investigates the impact of predictive text and autocorrection features on</div> <div>writing styles and language accuracy, considering both the benefits and potential</div> <div>drawbacks of these tools. While these technological advancements offer increased</div> <div>efficiency and accessibility in communication, they also raise important questions</div> <div>regarding the interpretation of tone and intent in digital contexts, as well as the</div> <div>potential for exacerbating existing disparities in digital access and literacy.</div> <div>Addressing concerns about the simplification of language, this research argues that</div> <div>digital communication fosters linguistic adaptability and innovation rather than</div> <div>decline, highlighting the creative ways in which individuals adapt language to suit the</div> <div>demands of online interaction. Furthermore, considering the increasing prevalence of</div> <div>AI in human interaction, this thesis emphasizes the critical importance of</div> <div>understanding the long-term effects of these technologies on language development,</div> <div>communication patterns, and the very nature of human relationships in the digital age.</div> <div>751The study concludes by suggesting areas for future research, including the ethical</div> <div>implications of AI-generated language and the evolving relationship between humans</div> <div>and machines in the context of communication.</div>

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 51%
Digital Communication and Language
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