Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

**Randomized Title:** **EchoLens: Quantifying Sentiment Feedback Loops to Predict Micro-Trend Virality Within Differentiated Online Subcultures**

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17244018
Primary Topic
Amazonian Archaeology and Ethnohistory
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

Zenodo (CERN European Organization for Nuclear Research)
Amazonian Archaeology and Ethnohistory
article

Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

article en

Abstract

**Randomized Title:** **EchoLens: Quantifying Sentiment Feedback Loops to Predict Micro-Trend Virality Within Differentiated Online Subcultures**

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 43%
Amazonian Archaeology and Ethnohistory
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.