We review academic studies by researchers in Türkiye and around the world. Each article explains the paper in plain English, examines what it may mean for organisations and clearly labels DijitalPi's own examples.
Each review includes the source, method, findings, limitations and a practical interpretation.
Transparent editorial status
Each article identifies whether its source is peer reviewed or a preprint and shows the review's current editorial status.
All research articles
Türkiye + international
The tabs show the original language of the academic source. Every explanation on this page is in English.
01 / HIRING AN AI EMPLOYEE
Is an AI employee really ready for work?
preprint review · Source language: English
Paper reviewed: READY or Not: Reliable Enterprise Agent Deployment arXiv · September 2, 2026 · v1 · Preprint
ResearchersVeronica Chatrath, Bryan Zhu, Jingxuan Fan and 14 researchers · Scale AI and partner institutions
An AI system can complete the task, but how much review will your team still need? Consider accuracy, review effort and total cost together when choosing an AI solution.
English review draft · Peer-reviewed publication not verified
How do customers respond when an ad discloses AI use?
peer-reviewed article review · Source language: English
Paper reviewed: “Made with AI” but why? How consumers interpret beneficiary-framed AI disclosures in advertising Journal of Marketing Analytics · 27 August 2026 · Peer-reviewed article
What difference does it make to write “Created with AI” in the ad and explain why? We explain the methodology of the three experiments, their different results, and their meaning for the brand team.
English review draft · No own campaign testing done
When AI agrees with you, does that mean you are right?
preprint review · Source language: English
Paper reviewed: Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness arXiv · First release: July 28, 2026 · Reviewed v3: August 2, 2026 · Preprint
ResearchersMeryl Ye, Robert Kraut and Steve Rathje · Carnegie Mellon University; New York University
Is the assistant's support for your idea an independent assessment? We describe the findings of two experiments, the impact of warnings, and what they mean when making decisions.
English review draft · Peer-reviewed publication not verified
peer-reviewed article review · Source language: English
Paper reviewed: On the conversational persuasiveness of GPT-4 Nature Human Behavior · 19 May 2025 · 9:1645–1653 · Peer-reviewed article
ResearchersFrancesco Salvi, Manoel Horta Ribeiro, Riccardo Gallotti and Robert West
How convincing was GPT-4 when it accessed basic personal information in brief online discussions? We describe the robust finding of the 900-participant experiment and its limitations that cannot be directly generalized to marketing.
Published English review · Not a marketing campaign test
peer-reviewed article review · Source language: English
Paper reviewed: LLM-generated messages can persuade humans on policy issues Nature Communications · 1 July 2025 · 16:6037 · Peer-reviewed article
ResearchersHui Bai, Jan G. Voelkel, Shane Muldowney, Johannes C. Eichstaedt and Robb Willer
In three preregistered experiments, 4,829 people read policy messages written by AI and ordinary people. We explain the small shifts in attitude, why the messages were perceived differently and what remains unknown for marketing.
Published English review · Political attitude experiment is not sales research
Does AI think differently depending on the language you use?
peer-reviewed article review · Source language: English
Paper reviewed: Cultural tendencies in generative AI Nature Human Behavior · 20 June 2025 · 9:2360–2369 · Peer-reviewed article
ResearchersJackson G. Lu, Lesley Luyang Song and Lu Doris Zhang
GPT and ERNIE showed different cultural tendencies when responding to the same measures in English and Chinese. We examine the meaning of language choice for localization, advertising ideation and international brand communication.
Published English review · English and Chinese model outputs reviewed
Does generative AI really increase e-commerce sales?
preprint review · Source language: English
Paper reviewed: Generative AI and Sales Productivity: Field Experiments in Online Retail arXiv · First release: October 14, 2025 · Revised v6: June 29, 2026 · Preprint; the authors state that it has been accepted by Management Science
In seven field experiments spanning millions of users and products, AI's sales impact varied by workflow. We explain where we're seeing the biggest growth, what's missing from ad headlines, and how businesses can set up a pilot.
Published English review · Field experiments on a single e-commerce platform
Paper reviewed: Multilayered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint JMIR Infodemiology · 20 August 2026 · 6:e96664 · Viewpoint and conceptual framework
ResearchersMuzaffer Malkoç · Istanbul Medipol University
The MEDF research question, its four-layer framework and its proposed approach to trust in health communication.
English review draft · Conceptual framework not yet empirically validated
A "40% increase" in a study does not mean that sales rose by 40%. We explain which results to examine when deciding whether investment in your website is paying off.
English review draft · Our own application test has not yet been conducted
Paper reviewed: Türkçe soru cevaplama için büyük dil modelleri üzerinde geniş ölçekli etki analizi Journal of Gazi University Faculty of Engineering and Architecture · 2025
ResearchersZekeriya Anıl Güven · İzmir Bakırçay University
An assistant may quote the correct price but misrepresent the return policy. We explain with examples which questions you should try before introducing the assistant to your customers.
30 mock answers available · Answers have not yet been human-rated
Paper reviewed: Enabling Large Language Models to Generate Text with Citations EMNLP 2023 · conference paper
ResearchersTianyu Gao, Howard Yen, Jiatong Yu and Danqi Chen · Princeton University
How did ALCE researchers evaluate the sourced answers and what did they find? We explain the meaning of the findings and compare the claim with its basis in four examples.
English review draft · Includes four teaching examples
Paper reviewed: Türkçe soru cevaplama için büyük dil modelleri üzerinde geniş ölçekli etki analizi Journal of Gazi University Faculty of Engineering and Architecture · 2025
ResearchersZekeriya Anıl Güven · İzmir Bakırçay University
An assistant may quote the correct price but misrepresent the return policy. We explain with examples which questions you should try before introducing the assistant to your customers.
30 mock answers available · Answers have not yet been human-rated
Paper reviewed: READY or Not: Reliable Enterprise Agent Deployment arXiv · September 2, 2026 · v1 · Preprint
ResearchersVeronica Chatrath, Bryan Zhu, Jingxuan Fan and 14 researchers · Scale AI and partner institutions
An AI system can complete the task, but how much review will your team still need? Consider accuracy, review effort and total cost together when choosing an AI solution.
English review draft · Peer-reviewed publication not verified
How do customers respond when an ad discloses AI use?
peer-reviewed article review · Source language: English
Paper reviewed: “Made with AI” but why? How consumers interpret beneficiary-framed AI disclosures in advertising Journal of Marketing Analytics · 27 August 2026 · Peer-reviewed article
What difference does it make to write “Created with AI” in the ad and explain why? We explain the methodology of the three experiments, their different results, and their meaning for the brand team.
English review draft · No own campaign testing done
When AI agrees with you, does that mean you are right?
preprint review · Source language: English
Paper reviewed: Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness arXiv · First release: July 28, 2026 · Reviewed v3: August 2, 2026 · Preprint
ResearchersMeryl Ye, Robert Kraut and Steve Rathje · Carnegie Mellon University; New York University
Is the assistant's support for your idea an independent assessment? We describe the findings of two experiments, the impact of warnings, and what they mean when making decisions.
English review draft · Peer-reviewed publication not verified
peer-reviewed article review · Source language: English
Paper reviewed: On the conversational persuasiveness of GPT-4 Nature Human Behavior · 19 May 2025 · 9:1645–1653 · Peer-reviewed article
ResearchersFrancesco Salvi, Manoel Horta Ribeiro, Riccardo Gallotti and Robert West
How convincing was GPT-4 when it accessed basic personal information in brief online discussions? We describe the robust finding of the 900-participant experiment and its limitations that cannot be directly generalized to marketing.
Published English review · Not a marketing campaign test
peer-reviewed article review · Source language: English
Paper reviewed: LLM-generated messages can persuade humans on policy issues Nature Communications · 1 July 2025 · 16:6037 · Peer-reviewed article
ResearchersHui Bai, Jan G. Voelkel, Shane Muldowney, Johannes C. Eichstaedt and Robb Willer
In three preregistered experiments, 4,829 people read policy messages written by AI and ordinary people. We explain the small shifts in attitude, why the messages were perceived differently and what remains unknown for marketing.
Published English review · Political attitude experiment is not sales research
Does AI think differently depending on the language you use?
peer-reviewed article review · Source language: English
Paper reviewed: Cultural tendencies in generative AI Nature Human Behavior · 20 June 2025 · 9:2360–2369 · Peer-reviewed article
ResearchersJackson G. Lu, Lesley Luyang Song and Lu Doris Zhang
GPT and ERNIE showed different cultural tendencies when responding to the same measures in English and Chinese. We examine the meaning of language choice for localization, advertising ideation and international brand communication.
Published English review · English and Chinese model outputs reviewed
Does generative AI really increase e-commerce sales?
preprint review · Source language: English
Paper reviewed: Generative AI and Sales Productivity: Field Experiments in Online Retail arXiv · First release: October 14, 2025 · Revised v6: June 29, 2026 · Preprint; the authors state that it has been accepted by Management Science
In seven field experiments spanning millions of users and products, AI's sales impact varied by workflow. We explain where we're seeing the biggest growth, what's missing from ad headlines, and how businesses can set up a pilot.
Published English review · Field experiments on a single e-commerce platform
Paper reviewed: Multilayered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint JMIR Infodemiology · 20 August 2026 · 6:e96664 · Viewpoint and conceptual framework
ResearchersMuzaffer Malkoç · Istanbul Medipol University
The MEDF research question, its four-layer framework and its proposed approach to trust in health communication.
English review draft · Conceptual framework not yet empirically validated
A "40% increase" in a study does not mean that sales rose by 40%. We explain which results to examine when deciding whether investment in your website is paying off.
English review draft · Our own application test has not yet been conducted
Paper reviewed: Enabling Large Language Models to Generate Text with Citations EMNLP 2023 · conference paper
ResearchersTianyu Gao, Howard Yen, Jiatong Yu and Danqi Chen · Princeton University
How did ALCE researchers evaluate the sourced answers and what did they find? We explain the meaning of the findings and compare the claim with its basis in four examples.
English review draft · Includes four teaching examples
For this project, we write the questions and collect the AI responses ourselves. The articles above are reviews of research published by other researchers.
Cookie preferences