Russian Neighbors Fined Over 200,000 Rubles for Defamatory Remarks in Apartment Building Chat as Supreme Court Upholds Ruling
Two participants in a shared apartment building chat have been ordered to pay more than 200,000 rubles in compensation after Russian courts, including the Supreme Court, upheld a ruling that their messages about a neighbor were defamatory.
The dispute originated from complaints about noisy tenants in one apartment. Residents raised the issue with the property owner in the building chat, after which the conversation descended into personal attacks. The residents also contacted police, but officers found no grounds for administrative action against the owner. The owner then filed a civil claim for protection of honor and dignity, submitting the chat logs, SMS messages, and recordings of telephone conversations as evidence.
A court-appointed linguistic expert concluded that some of the public statements did not contain swear words or formal insults yet included derogatory descriptions and suggestions of mental health issues. The court ruled that these remarks could not be treated as permissible evaluative opinions. Obscene language was identified in private conversations. Complaints to the police were not considered abusive, as the court found no evidence that the residents had misused their right to contact state authorities.
One defendant was ordered to pay more than 100,000 rubles and the second a slightly lower amount. When calculating the compensation, the court noted that the plaintiff had also behaved inappropriately during the conflict, but this did not exempt the defendants from liability. The decision survived review at every higher instance, including the Supreme Court.
The ruling signals that messages posted in a building chat are treated as public statements capable of damaging an identifiable person's reputation, even without explicit profanity.
Related articles
Samara University Study Shows Social Ties Maintain Order in Minecraft Virtual Cities
Researchers from Samara University examined how player-run cities in Minecraft sustain order without heavy reliance on formal rules or enforcement mechanisms. Olga Udalova conducted eight interviews with virtual mayors and surveyed 246 players across multiple communities. The study found that dense social connections, personal reputation, and informal authority of mayors play a far greater role than written regulations. In some cities detailed norms exist while others operate with minimal rules, simply requiring players to act reasonably. A notable example is Boostergrad, a semi-anarchic community of 117 residents where griefing is formally permitted yet rarely occurs because reputational damage outweighs any short-term gain. Residents resolve conflicts through negotiation and voluntarily compensate for damage, as illustrated by one player who paid 2000 units of in-game currency after accidentally destroying another’s loot. Overall the research demonstrates that trust and social networks, rather than fear of punishment, keep these virtual societies stable.
Why Automation Alone Fails to Improve SOC Efficiency: The Case for Managed Operational Models
Mature security infrastructure does not guarantee protection against cyber threats, as attacks can still cause downtime, crisis recovery, and financial damage even when key controls are deployed. Automation of routine tasks helps speed up responses but cannot raise SOC effectiveness without clear decision criteria, defined responsibilities, and repeatable incident-handling processes. Organizations using an average of 83 security tools from 29 vendors face fragmentation that automation alone cannot resolve. A managed SecOps model covering the full incident lifecycle—from detection and prioritization through investigation, response, closure, and post-incident improvement—is required. Positive Technologies highlights that SecOps platforms such as MaxPatrol 360 provide the unified environment needed to link context, processes, coordination, automation, metrics, and continuous improvement.
Building a Minimalist UI Test Framework with Playwright and Pytest
Vladislav Timashenkov from InfoWatch presents a practical approach to constructing a concise UI automation testing framework using Playwright. The article focuses on leveraging native Playwright features instead of creating additional abstraction layers. It covers launching a Chromium browser once per session, handling authentication via API calls to obtain cookies, and managing isolated BrowserContext instances for test independence. Readers learn how to implement Page Object models that rely on Playwright's built-in locators and auto-waiting mechanisms. The tutorial includes real code examples for fixtures, context factories, and a sample test for tag management functionality. This method reduces maintenance overhead while ensuring tests remain scalable across different environments.
Russia Develops Domestic ERA-GLONASS System for Public Transport Tracking During GPS and GLONASS Disruptions
AO GLONASS has created a national system that maintains real-time monitoring of buses and trolleybuses even when satellite navigation signals are jammed or lost. The solution relies on the state-run ERA-GLONASS platform, placing autonomous markers at stops and identifiers on vehicles to record exact positions without depending on GPS or GLONASS. Data is transmitted over a protected ERA-GLONASS communication channel that remains available during mobile internet restrictions thanks to inclusion in official white lists. The first deployment begins in Kaluga on 1 September, covering three trolleybus routes with live tracking for passengers, dispatchers, carriers, and mapping services. The battery-powered markers are designed for five years of maintenance-free operation in any weather and are built entirely with Russian components and encryption algorithms. Future plans include extending the technology to municipal vehicles and emergency services fleets.