← Back to the article

SciMatic · SciChain record

Reading in the Digital Age: Moderating Effects of Age and Sex on the Relationship between Social Media Usage and Reading Interest

Mark Anthony Rodriguez, Aniceto Naval
Psychology and Education: A Multidisciplinary Journal · 2025-07-06 · DOI 10.70838/pemj.411002
Token #5733
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #5733.
Token#5733 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0x85a81096c38b337e24ffee982db2aa059a58bba87af675321f18b9e2a1477366 · block 12106477
Minted2026-10-02 06:35 UTC
Hash on chain0xc6d584663b14c2facf374d7ec79131bcf641487c5a51d9382117181dc397cbef
SHA-256 of the record0xc6d584663b14c2facf374d7ec79131bcf641487c5a51d9382117181dc397cbef
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Mark Anthony Rodriguez 0x064b367f…E0438a 450,000 450,000
Aniceto Naval 0xF0BEB7f7…0aB970 450,000 450,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"In a world increasingly driven by rapid change and digital transformation, the ability to adapt, connect, and innovate has never been more essential. This study investigated the relationship between social media usage and reading interest among senior high school students at Lala Proper Integrated School during the 2024–2025 academic year, focusing on age and sex as potential moderators. Employing a quantitative, cross-sectional design, data were gathered from 100 randomly selected students (50 males, 50 females) across GAS, HUMSS, and TVL strands through a validated three-part questionnaire measuring socio-demographic variables, reading interest, and social media usage. Descriptive statistics summarized participants’ profiles and reading behaviors, while moderation analysis in JAMOVI examined the influence of age and sex on the social media–reading interest relationship. Findings revealed that Facebook and TikTok were the most frequently used platforms, with students averaging over 3.5 hours weekly on each. Although students demonstrated high reading attitudes (Mean=2.50) and purposes (Mean=2.59), their actual reading engagement (Mean=2.21), preference (Mean=2.11), and overall reading interest (Mean=2.35) were low, highlighting a disconnect between recognizing reading’s value and practicing it during leisure time. A significant but weak positive correlation (r = 0.244, p = 0.015) indicated that greater social media usage was slightly associated with higher reading interest, suggesting that social media might coexist with or even encourage reading interest to some extent. Moderation analyses showed that while social media usage significantly predicted reading interest (p < 0.05), neither age (p = 0.447) nor sex (p = 0.847) moderated this relationship. This implies that the influence of social media on reading interest remains consistent regardless of students’ age or gender. These results suggest that interventions to promote reading through social media or digital platforms can be broadly applied without age- or sex-specific modifications.","abstract_source":"original","authors":["Mark Anthony Rodriguez","Aniceto Naval"],"date":"2025-07-06","doi":"10.70838/pemj.411002","id":5733,"issue":10,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"ec1e8057736680589883bfea4564447b49720e6f6ed3f2ed73bb72529085cc8c","schema":"scimatic-article/1","title":"Reading in the Digital Age: Moderating Effects of Age and Sex on the Relationship between Social Media Usage and Reading Interest","volume":41}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/5733.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(5733)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001665"},"latest"]}'

The two must be equal (the second with a 0x in front).