Linguistic Studies on Online Ad Performance, Summarized in Excel

A summary table of prior research investigating the impact of linguistic features on online advertising performance. The dataset was created by Kenjiro Inoue and last updated on April 15, 2026. It is a small 5.5 KB Excel file summarizing authors, platforms, linguistic variables, and key findings from seminal studies.

Use Cases

• Literature review of linguistic ad studies based on the summarized authors and findings.
• Meta-analysis of text feature impact on CTR based on the compiled performance metrics.
• Comparative study of analytical approaches across platforms based on the outlined platform and variable data.

Strengths

• File size is 5.5 KB, indicating a focused and easily downloadable summary.
• Explicitly licensed under CC-BY-4.0 for open sharing and reuse.
• Last update timestamp is precisely recorded as 2026-04-15 18:03:06.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a summary of other studies, not primary performance data.

Provenance

Source

Kenjiro Inoue via figshare

Collection Method

Likely compiled through literature review and synthesis of published studies.

Freshness

Last updated 2026-04-15 18:03:06; freshness should be verified.