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arxiv: 2601.18772 · v2 · submitted 2026-01-26 · 💻 cs.HC

Are Conversational AI Agents the Way Out? Co-Designing Reader-Oriented News Experiences with Immigrants and Journalists

Yongle Zhang , Ge Gao This is my paper

Pith reviewed 2026-05-16 10:47 UTC · model grok-4.3

classification 💻 cs.HC
keywords conversational AIimmigrant readersnews experiencesco-designvalue alignmentjournalismreader-oriented designHCI
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The pith

Co-design with immigrants and journalists reveals an unaddressed-or-unaccountable paradox that yields four metaphors for conversational AI to assist news reading.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines how conversational AI might support immigrant readers who face difficulties with mainstream news by involving them and journalists in co-design sessions. Participants identified a core paradox in which news-related problems remain either unaddressed or unaccountable, creating misalignment in values between the two groups. From this finding the authors derive four metaphors that specify distinct ways AI agents, journalists, and readers can share responsibilities for better news experiences. A reader would care because the work translates observed tensions into actionable design directions for AI tools aimed at underserved audiences. If the metaphors hold, they could shape how news platforms incorporate AI to make content more relevant and accountable without replacing human journalists.

Core claim

Data collected from all participants revealed an unaddressed-or-unaccountable paradox that challenges value alignment across immigrant readers and journalists. This paradox points to four metaphors regarding how conversational AI agents can be designed to assist news reading. Each metaphor requires conversational AI, journalists, and immigrant readers to coordinate their shared responsibilities in a distinct manner.

What carries the argument

The unaddressed-or-unaccountable paradox, which surfaces misalignments in news accountability and attention, and serves as the source for four distinct design metaphors that assign coordinated roles to AI agents, journalists, and immigrant readers.

If this is right

  • Each metaphor assigns AI a different level of responsibility for interpreting or contextualizing news for immigrant audiences.
  • Journalists retain roles in content creation while AI handles coordination tasks that readers currently find missing.
  • The designs enable reader input to influence how news is presented without requiring direct journalist-reader contact.
  • Value alignment improves when AI, journalists, and readers explicitly divide tasks around accountability and attention to news issues.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The metaphors could be tested by building and evaluating prototype apps with immigrant users to check real-world uptake.
  • Similar co-design work might surface parallel paradoxes for other reader groups such as non-native speakers or rural audiences.
  • News organizations might adopt the metaphors to guide internal AI development even before full deployment.
  • The findings imply that reader-oriented news requires explicit responsibility mapping rather than simply adding AI features.

Load-bearing premise

That patterns observed with eighteen participants in one U.S. region can be turned into reliable, generalizable design metaphors for conversational AI without further validation against existing news tools or other populations.

What would settle it

A follow-up study that deploys AI prototypes built on the four metaphors and measures no measurable increase in news comprehension, relevance ratings, or engagement time for immigrant readers compared with standard news apps would falsify the central claim.

Figures

Figures reproduced from arXiv: 2601.18772 by Ge Gao, Yongle Zhang.

Figure 1
Figure 1. Figure 1: An illustration of the entire research process consists of three successive phases: onboarding sessions, activity set one titled ‘News On My Radar,’ and activity set two titled ‘News Without Barriers.’ During activity set one, our immigrant participants kept a one-week diary of a self-selected news pieces they read in daily life; these news collections were used as design probes to anchor and elicit small-… view at source ↗
Figure 2
Figure 2. Figure 2: A visual summary of all primary "ndings of our current research. The top section illustrates four participant￾proposed design metaphors connecting journalists, readers, and conversational AI agents for enhancing immigrants’ news experience. These metaphors consider the AI agent as Data Decoder , Connection Informer , Empathetic Friend , and Trajectory Witness , respectively. The lower section illustrates v… view at source ↗
read the original abstract

Recent discussions at the intersection of journalism, HCI, and human-centered computing ask how technologies can help create reader-oriented news experiences. The current paper takes up this initiative by focusing on immigrant readers, a group who reports significant difficulties engaging with mainstream news yet has received limited attention in prior research. We report findings from our co-design research with eleven immigrant readers living in the United States and seven journalists working in the same region, aiming to enhance the news experience of the former. Data collected from all participants revealed an "unaddressed-or-unaccountable" paradox that challenges value alignment across immigrant readers and journalists. This paradox points to four metaphors regarding how conversational AI agents can be designed to assist news reading. Each metaphor requires conversational AI, journalists, and immigrant readers to coordinate their shared responsibilities in a distinct manner. These findings provide insights into reader-oriented news experiences with AI in the loop.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper presents findings from a co-design study with 11 immigrant readers and 7 journalists in one U.S. region. It identifies an 'unaddressed-or-unaccountable' paradox in value alignment between these groups regarding news engagement and derives four metaphors for designing conversational AI agents to support reader-oriented news experiences, with each metaphor specifying distinct coordination of responsibilities among AI, journalists, and immigrant readers.

Significance. If the interpretive findings hold, the work offers concrete design insights for incorporating conversational AI into news consumption to address challenges faced by immigrant readers, a group often overlooked in journalism and HCI research. The qualitative framing positions the metaphors as generative rather than validated universals, which aligns with standard practices in co-design studies and avoids overclaiming generalizability from the regionally bounded sample.

major comments (2)
  1. [Methods] Methods section: The manuscript provides no details on the qualitative coding process, analysis methods, or how the 'unaddressed-or-unaccountable' paradox was extracted from the co-design session transcripts. Without this, the traceability of the central claim to participant data cannot be assessed.
  2. [Findings] Findings section: The four metaphors are presented as emerging from the sessions, but there is no explicit mapping (e.g., via participant quotes, session summaries, or thematic tables) showing how each metaphor was derived. This leaves the derivation process opaque and load-bearing for the paper's contribution.
minor comments (2)
  1. [Abstract] Abstract: The phrase 'unaddressed-or-unaccountable' paradox is introduced without a concise definition or example, which could be clarified for readers unfamiliar with the study.
  2. [Introduction] The paper could strengthen its positioning by briefly referencing prior work on news AI tools or immigrant media use to better contextualize the novelty of the metaphors.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their thoughtful review and constructive suggestions. We address each of the major comments below, indicating the revisions we plan to make to improve the transparency of our methods and findings.

read point-by-point responses

  1. Referee: [Methods] Methods section: The manuscript provides no details on the qualitative coding process, analysis methods, or how the 'unaddressed-or-unaccountable' paradox was extracted from the co-design session transcripts. Without this, the traceability of the central claim to participant data cannot be assessed.

    Authors: We agree with the referee that additional details on the qualitative analysis are necessary for traceability. In the revised version, we will expand the Methods section to describe the data analysis process in detail. This will include: (1) the use of thematic analysis following Braun and Clarke's six-phase approach, (2) the inductive coding procedure where two researchers independently coded the transcripts from the co-design sessions, (3) how codes were iteratively refined through discussion to identify the paradox, and (4) examples of how specific data excerpts led to the identification of the 'unaddressed-or-unaccountable' paradox. We believe this will make the derivation of the central claim clear. revision: yes

  2. Referee: [Findings] Findings section: The four metaphors are presented as emerging from the sessions, but there is no explicit mapping (e.g., via participant quotes, session summaries, or thematic tables) showing how each metaphor was derived. This leaves the derivation process opaque and load-bearing for the paper's contribution.

    Authors: We acknowledge that the link between the co-design data and the four metaphors could be more explicitly demonstrated. To address this, we will revise the Findings section by adding a table or detailed mapping that connects each metaphor to representative participant quotes from both immigrant readers and journalists, summaries of relevant co-design activities, and the underlying thematic codes. This addition will provide a clear audit trail for how the metaphors were derived without altering the interpretive nature of the findings. revision: yes

Circularity Check

0 steps flagged

No significant circularity in derivation chain

full rationale

This is a qualitative HCI co-design study whose central claims (an 'unaddressed-or-unaccountable' paradox and four design metaphors) are presented as interpretive findings that emerge directly from new data collected in sessions with 18 participants. No equations, fitted parameters, quantitative predictions, or self-citation chains appear in the provided text. The argument does not reduce any result to its own inputs by definition or by renaming prior work; the metaphors are offered as traceable design insights rather than forced universals. The small-sample limitation is acknowledged in the reader's take as an external generalizability concern, not an internal circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a qualitative co-design study. It introduces no free parameters, mathematical axioms, or invented technical entities. The paradox and metaphors are interpretive outputs from participant sessions rather than derived quantities.

pith-pipeline@v0.9.0 · 5450 in / 1122 out tokens · 33319 ms · 2026-05-16T10:47:22.875337+00:00 · methodology

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