手机应用程序“过滤气泡”现象及其规避策略研究

Research on the Phenomenon of"Filter Bubbles"in Mobile Applications and Strategies for Mitigation

当前手机已成为人们生活、学习和工作的必备工具。文章探索了“过滤气泡”现象对手机应用用户的消极影响及规避消极影响的策略,以帮助用户理性使用各类软件,也为软件开发企业提供新的开发视角。文章主要利用Python爬取携程APP推荐的两个景点的用户评论数据,通过剔除或保留所爬取的有效数据,再利用扎根理论研究方法进行筛选和整理分析。根据数据分析结果,从企业和用户两个角度提出规避“过滤气泡”消极影响的策略,包括采用融入反向推荐机制促进用户信息获取公平性,贯彻以人为本基本理念统一经济与社会效益;明确检索目的,适当把握和取舍检索的深度广度,由主流媒体倡导个人养成科学的信息获取习惯。

Mobile phones have become indispensable tools for people's daily lives,study,and work.This study aims to explore the negative impacts of"filter bubbles"on mobile application users and strategies to mitigate these effects,thereby assisting users in using various software rationally and providing new development perspectives for software development companies.The study primarily utilizes Python for web scraping to collect user review data from two tourist attractions recommended by the Ctrip app.Through filtering and analysis using rooted theory research methods,valid data is extracted and analyzed.Based on the analysis results,strategies for mitigating the negative impacts of"filter bubbles"are proposed from the perspectives of both enterprises and users.These strategies include integrating reverse recommendation mechanisms to promote fairness in user information acquisition,adhering to the fundamental principle of human-centeredness to unify economic and social benefits,clarifying search purposes,appropriately balancing the depth and breadth of searches,and advocating for individuals to cultivate scientific information acquisition habits through mainstream media.