Pith Number

pith:KLA2AX72

pith:2026:KLA2AX72SNOFGNUKVI2WQ4XAR4

not attested not anchored not stored refs resolved

Building Resilience to Misinformation: A Cross-National Development of the Digital Media and Information Literacy Scale (DMILS)

Cuihua Shen, Hichang Cho, Huiyi Wang, Sijia Qian

Researchers developed the DMILS as an 18-item self-report and 16-item objective scale to measure digital media and information literacy across the United States and Singapore.

arxiv:2605.17676 v1 · 2026-05-17 · cs.CY

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\usepackage{pith}
\pithnumber{KLA2AX72SNOFGNUKVI2WQ4XAR4}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Through two empirical studies with three nationally matched samples in the United States and Singapore (N = 1,498), we developed an 18-item self-report battery and 16-item objective knowledge questions, showing strong structural, convergent, and predictive validity, along with a short form (8 self-report and 8 objective items).

C2weakest assumption

The three nationally matched samples from the United States and Singapore provide a sufficient and representative basis for establishing cross-national structural, convergent, and predictive validity of the DMILS.

C3one line summary

Develops and validates the DMILS, an 18-item self-report and 16-item objective scale distinguishing digital vs. information domains and knowledge vs. skill competencies, tested on nationally matched US and Singapore samples (N=1,498) with a short form.

References

3 extracted · 3 resolved · 0 Pith anchors

[1] PDF 2. Spyware 3. Phishing 4. Hashtag 5. Chatbot 6. Algorithm 2. Digital Skill (DS) Instruction: Please select how much you agree or disagree with the following statements. (Strongly disagree to Stron 2013

[2] It has been scientifically established that cholesterol is present in animal organisms but not in plants. How would you best describe a TV commercial which claims that the sunflower oil manufactured b 2010

[3] Correctly Captioned 2023 · doi:10.1037/a0032121

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-20T00:04:52.198631Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

52c1a05ffa935c53368aaa356872e08f1f5616acb188cea21934d1d857473d5e

Aliases

arxiv: 2605.17676 · arxiv_version: 2605.17676v1 · doi: 10.48550/arxiv.2605.17676 · pith_short_12: KLA2AX72SNOF · pith_short_16: KLA2AX72SNOFGNUK · pith_short_8: KLA2AX72

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/KLA2AX72SNOFGNUKVI2WQ4XAR4 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 52c1a05ffa935c53368aaa356872e08f1f5616acb188cea21934d1d857473d5e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "89fc4c6f4b772fea86497721151d5c7e604d40e9f4e871aae533174b4f1df0b4",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-05-17T22:09:16Z",
    "title_canon_sha256": "85f369d9d28b84661c12f2b53d441b710d0c4b3dc48ebf42fb433aebca513a56"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17676",
    "kind": "arxiv",
    "version": 1
  }
}