The benefits, risks and bounds of personalizing the alignment of large language models to individuals

HR Kirk, B Vidgen, P Röttger, SA Hale - Nature Machine Intelligence, 2024 - nature.com
Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …

[PDF][PDF] SWOT analysis applications: An integrative literature review

MA Benzaghta, A Elwalda… - Journal of Global …, 2021 - pdfs.semanticscholar.org
A strengths, weaknesses, opportunities, and threats (SWOT) analysis has become a key tool
used by businesses for strategic planning. Scholars have conducted SWOT research for …

Influencer marketing effectiveness

FF Leung, FF Gu, Y Li, JZ Zhang… - Journal of …, 2022 - journals.sagepub.com
Influencer marketing initiatives require firms to select and incentivize online influencers to
engage their followers on social media in an attempt to promote the firms' offerings …

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

HR Kirk, B Vidgen, P Röttger, SA Hale - arxiv preprint arxiv:2303.05453, 2023 - arxiv.org
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

[HTML][HTML] Online antecedents for young consumers' impulse buying behavior

J Nyrhinen, A Sirola, T Koskelainen, J Munnukka… - Computers in Human …, 2024 - Elsevier
Acting on a sudden urge to purchase something without a prior intention or plan to do so
and without considering its long-term effects is regarded as impulse buying behavior. The …

Mobile advertising: A systematic literature review and future research agenda

C Jebarajakirthy, HI Maseeh, Z Morshed… - … Journal of Consumer …, 2021 - Wiley Online Library
The purpose of this research is to review the extant literature on mobile advertising
systematically and to carry out a comprehensive analysis of research in this emerging field …

Data-driven digital advertising: benefits and risks of online behavioral advertising

S Aiolfi, S Bellini, D Pellegrini - International Journal of Retail & …, 2021 - emerald.com
Purpose The research aims to investigate how individuals can be persuaded to make
purchases through repeated and personalized messages. Specifically, the study proposes a …

How do digital natives perceive and react toward online advertising? Implications for SMEs

WM Lim, S Gupta, A Aggarwal, J Paul… - Journal of Strategic …, 2024 - Taylor & Francis
Advertising was once touted as a 'big boys' marketing tool, but the advent of the Internet has
led to the emergence of online advertising, which has benefitted marketing organizations of …

Internet of behaviors: A survey

J Sun, W Gan, HC Chao, SY Philip… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Behavior (IoB) is a research theme that aims to analyze human behavior data
on the Internet from the perspective of behavioral psychology, obtain insights about human …

A comparison of lifestyle marketing and brand influencer advertising for generation Z Instagram users

S Hazari, BN Sethna - Journal of Promotion Management, 2023 - Taylor & Francis
Instagram has become a popular platform for consumers and marketers. Using the stimulus-
organism-response theory, this study compared lifestyle and brand influencer types of …