Institution profile

Montclair State University

Academic institutionnorthamerica · us
Official website
Research library21linked papers
Opportunities0open roles
Selected work

Representative Papers

Reddit Community Interventions and Cross-Platform Response: Migration and Policy-Response Discourse on Voat

Sep 04, 2026

Platform moderation can disrupt online communities, but the responses that follow do not necessarily take the form of direct migration. Communities may relocate, reorganize, discuss moderation decisions, express censorship concerns, or continue activity on alternative platforms without clear evidence of user-level movement. This study examines Reddit community bans and quarantines and their relationship with activity and migration-related discourse on Voat. Using data from the Multi-Platform Aggregated Dataset of Online Communities (MADOC), we analyze interventions affecting FatPeopleHate, GreatAwakening, MillionDollarExtreme, and CringeAnarchy. We combine computational discourse screening with a stratified independent human-validation procedure and population-adjusted estimates across 90-day pre- and post-intervention windows. The results reveal heterogeneous cross-platform responses. FatPeopleHate experienced a substantial increase in overall Voat activity while the relative prevalence of policy-response and broader relevant discourse declined. CringeAnarchy showed declines in direct migration and policy-response discourse following its permanent ban, although some estimates were sensitive to uncertain human labels. GreatAwakening instead exhibited a modest increase in policy-response discourse without clear evidence of increased direct migration. These findings suggest that platform interventions do not produce a uniform migration process. Overall destination-platform activity and migration-related discourse may move in different directions, highlighting the importance of distinguishing behavioral migration from broader discussion of moderation, censorship, governance, and community rebuilding.

0 citationsRead paper

Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting

Aug 12, 2026

Financial volatility exhibits state-dependent dynamics, yet directly incorporating market state information into neural networks often leads to training instability. To address this, this work proposes the RG-ResMoE architecture, which innovatively employs state variables solely within a soft routing gate to modulate expert selection—rather than feeding them directly into the prediction pathway—thereby effectively isolating non-stationary influences while maintaining model compactness. Integrating a residual mixture-of-experts mechanism with a rolling forward evaluation framework, the proposed method significantly outperforms capacity-matched MLPs on both U.S. and Japanese equity data, achieving superior predictive accuracy, enhanced training stability, and better Value-at-Risk (VaR) calibration. Moreover, soft routing consistently demonstrates clear advantages over hard routing.

0 citationsRead paper
Recent publications

Latest Papers

Reddit Community Interventions and Cross-Platform Response: Migration and Policy-Response Discourse on Voat

Sep 04, 2026

Platform moderation can disrupt online communities, but the responses that follow do not necessarily take the form of direct migration. Communities may relocate, reorganize, discuss moderation decisions, express censorship concerns, or continue activity on alternative platforms without clear evidence of user-level movement. This study examines Reddit community bans and quarantines and their relationship with activity and migration-related discourse on Voat. Using data from the Multi-Platform Aggregated Dataset of Online Communities (MADOC), we analyze interventions affecting FatPeopleHate, GreatAwakening, MillionDollarExtreme, and CringeAnarchy. We combine computational discourse screening with a stratified independent human-validation procedure and population-adjusted estimates across 90-day pre- and post-intervention windows. The results reveal heterogeneous cross-platform responses. FatPeopleHate experienced a substantial increase in overall Voat activity while the relative prevalence of policy-response and broader relevant discourse declined. CringeAnarchy showed declines in direct migration and policy-response discourse following its permanent ban, although some estimates were sensitive to uncertain human labels. GreatAwakening instead exhibited a modest increase in policy-response discourse without clear evidence of increased direct migration. These findings suggest that platform interventions do not produce a uniform migration process. Overall destination-platform activity and migration-related discourse may move in different directions, highlighting the importance of distinguishing behavioral migration from broader discussion of moderation, censorship, governance, and community rebuilding.

0 citationsRead paper

Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting

Aug 12, 2026

Financial volatility exhibits state-dependent dynamics, yet directly incorporating market state information into neural networks often leads to training instability. To address this, this work proposes the RG-ResMoE architecture, which innovatively employs state variables solely within a soft routing gate to modulate expert selection—rather than feeding them directly into the prediction pathway—thereby effectively isolating non-stationary influences while maintaining model compactness. Integrating a residual mixture-of-experts mechanism with a rolling forward evaluation framework, the proposed method significantly outperforms capacity-matched MLPs on both U.S. and Japanese equity data, achieving superior predictive accuracy, enhanced training stability, and better Value-at-Risk (VaR) calibration. Moreover, soft routing consistently demonstrates clear advantages over hard routing.

0 citationsRead paper