Media Manipulation and Bias Detection
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Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Survey respondents favoring directly elected prime minister / specific political blame allocations
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Leaving out important contextual or methodological details that are necessary to properly interpret the information presented.
The article reports survey results such as: - "४५.९२ प्रतिशतले मत दिएका थिए ।" - "२५.५४ प्रतिशत... १४.४० प्रतिशत... १४.१३ प्रतिशतले मत दिएको सर्वेको नतिजामा उल्लेख छ ।" - "नेकपा एमालेको दोष ४०.६० प्रतिशत, ... २८.८८ प्रतिशत, ... ७.३६ प्रतिशतले मत दिएका थिए ।" But it does not mention who conducted the survey, the total number of respondents, sampling method, time period, margin of error, or exact question wording. Without these, readers may over‑interpret the precision and generalizability of the percentages.
Add survey methodology details, e.g.: "यो सर्वेक्षण [संस्थाको नाम] ले [मिति] देखि [मिति] सम्म [संख्या] जना उत्तरदातामाथि अनलाइन/टेलिफोन/प्रत्यक्ष अन्तर्वार्ता मार्फत गरेको हो। नमुना छनोट [यादृच्छिक/सुविधाजन्य] थियो र नतिजाको त्रुटि सीमा ±[x] प्रतिशत बिन्दु छ।"
Include the exact or paraphrased question wording, e.g.: "प्रश्न यस्तो थियो: 'विदेशमा बस्ने नेपालीलाई भोट दिने व्यवस्था किन लागू भएको छैन भनेर तपाईं के सोच्नुहुन्छ?'"
Clarify the population represented: "यो नतिजा अमेरिकामा रहेका एनआरएन सदस्यहरू/विदेशमा बस्ने नेपालीहरूको एउटा सीमित समूहको धारणा हो, सम्पूर्ण नेपाली जनसंख्याको प्रतिनिधि नहुन सक्छ।"
Presenting only selected data points that support a particular impression while omitting other relevant results.
The article highlights specific response categories (e.g., blaming नेकपा एमाले ४०.६० प्रतिशत, or reasons for not implementing overseas voting) but does not indicate whether there were other notable response options or how large the 'don't know/no answer' group was. It also lists only certain constituencies as "रोचक चुनावी प्रतिस्पर्धा" without explaining the criteria or whether other constituencies were considered.
State whether all major response options are shown: "अन्य विकल्पहरू (जस्तै 'थाहा छैन/कुनै धारणा छैन') मा कति प्रतिशतले मत दिएका थिए भन्ने पनि उल्लेख गर्नुहोस्।"
Explain selection criteria for highlighted constituencies: "यी क्षेत्रहरूलाई 'रोचक' भन्नुको आधार [अघिल्लो चुनावी नतिजा, कडा प्रतिस्पर्धा, उच्च मतान्तर, आदि] हो, अन्य क्षेत्रहरू पनि विश्लेषणमा परेका थिए तर यहाँ प्रतिनिधिमूलक रूपमा केही मात्र उल्लेख गरिएको हो।"
If some data are omitted due to space, explicitly say so: "स्थान अभावका कारण सबै नतिजा यहाँ समेटिएका छैनन्; विस्तृत नतिजा [स्रोत/लिङ्क] मा हेर्न सकिन्छ।"
Reducing complex political or institutional issues to a few survey percentages without adequate nuance or explanation.
Complex issues like overseas voting implementation and legal status of NRN descendants are summarized mainly through blame percentages (e.g., "नेकपा एमालेको दोष ४०.६० प्रतिशत"), which can suggest that responsibility lies clearly with one actor, without explaining legal, administrative, or multi‑party dynamics.
Add brief contextual explanation: "एनआरएनए सम्बन्धी कानुन नबनिनुको कारणमा विभिन्न सरकार र दलहरूको भूमिका, कानुनी जटिलता र प्रशासनिक तयारीजस्ता पक्षहरू पनि समावेश छन्; सर्वेक्षणले भने उत्तरदाताको धारणा मात्र देखाउँछ।"
Differentiate perception from fact: "यी प्रतिशतहरूले उत्तरदाताले कसलाई दोषी ठान्छन् भन्ने धारणा मात्र देखाउँछन्, वास्तविक कानुनी/राजनीतिक जिम्मेवारीको औपचारिक विश्लेषण होइन।"
Mention that multiple actors may share responsibility: "जिम्मेवारी प्रायः एकल दल वा सरकारको मात्र नभई दीर्घकालीन नीतिगत र संस्थागत प्रक्रियासँग पनि जोडिएको हुन सक्छ।"
Presenting information in a way that emphasizes blame or conflict, which can influence readers’ interpretation even if the data are factual.
The segment on NRN law and property rights is framed primarily in terms of "दोषी को हुन सक्छ" and then immediately lists parties with associated blame percentages. This blame‑oriented framing can push readers to think in terms of partisan fault rather than structural or legal analysis.
Reframe from blame to analysis: "एनआरएनए कानुन नबनिनुको कारणबारे उत्तरदाताको धारणा यस्तो देखिन्छ..." instead of "यसको दोषी को हुन सक्छ".
Add a neutral explanatory sentence: "सर्वेक्षणले दोष तोक्नेभन्दा बढी, उत्तरदाताले कसरी राजनीतिक दलहरूको भूमिकालाई हेर्छन् भन्ने बुझ्न खोजेको हो।"
Balance with non‑blame context: include a line on ongoing legal or parliamentary processes, if any, to show that the issue is not only about partisan fault.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.