Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Local residents / beneficiaries of development
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.
Using emotionally charged or exaggerated language that can make the situation seem more dramatic or positive than neutrally described facts would.
1) “त्यतिबेलाका दुख सम्झिने हो भने अहिले त दोधारा चाँदनी स्वर्ग नै बनेको छ...” 2) “सुक्खा बन्दरगाह निर्माणपछि यो क्षेत्रको कायापलट हुने अनुमान गरिएको छ।” In (1), the phrase 'swarg nai baneko chha' (has become like heaven) is clearly hyperbolic and emotionally positive. It is in a direct quote from Man Bahadur Gurung, so it is his personal perception, but it still frames the present in very glowing terms. In (2), 'kāyapalat hune anumān gareko chha' (it is estimated that there will be a complete transformation) is a strong, optimistic prediction without concrete supporting analysis in the text.
Clarify that such statements are subjective perceptions, not factual descriptions. For example: “उनका अनुसार, त्यतिबेलाका दुख सम्झिने हो भने अहिले दोधारा चाँदनी ‘स्वर्गजस्तो’ लागेको छ।” This keeps it clearly as his feeling.
For the dry port prediction, add attribution and basis: “स्थानीय जनप्रतिनिधि र व्यवसायीहरूको अनुमान छ कि सुक्खा बन्दरगाह निर्माणपछि व्यापारिक गतिविधि बढेर यो क्षेत्रको आर्थिक संरचनामा ठूलो परिवर्तन आउन सक्छ।”
Where possible, complement emotional or predictive language with data or expert analysis (e.g., projected trade volume, employment estimates) to ground the expectation in evidence.
Presenting complex social and economic change as if it were caused by a single factor, without acknowledging other contributing factors or uncertainties.
1) “२०५८ मा ... झोलुंगे पुल निर्माण भए पछि मात्रै यस क्षेत्रका बासिन्दाको सहज आउजाउ हुन थालेको हो । त्यसपछि मात्रै हो यहाँका बासिन्दाको बाँकी नेपालसँग सम्बन्ध जोडिएको हो ।” 2) “सुक्खा बन्दरगाह निर्माणपछि यो क्षेत्रको कायापलट हुने अनुमान गरिएको छ ।” In (1), the text implies that only after the suspension bridge did residents have easy movement and connection with the rest of Nepal. While the bridge is clearly a major factor, the wording suggests a single decisive cause, ignoring other possible gradual changes (roads, administrative integration, banking, education, etc.). In (2), the phrase suggests that the dry port alone will transform the area, without discussing conditions under which that might or might not happen.
Qualify causal claims to reflect multiple factors. For example: “२०५८ मा झोलुंगे पुल बनेपछि यहाँका बासिन्दाको नेपालतर्फको आवतजावत निकै सहज भयो र बाँकी नेपालसँगको सम्बन्ध झन् मजबुत हुँदै गयो।”
For the dry port, add conditions and nuance: “सुक्खा बन्दरगाह निर्माण र त्यससँग सम्बन्धित पूर्वाधार तथा नीतिहरू प्रभावकारी रूपमा कार्यान्वयन भएमा, यो क्षेत्रको आर्थिक संरचनामा ठूलो परिवर्तन आउने अनुमान गरिएको छ।”
Explicitly mention other contributing developments (roads, embankments, schools, banks) when discussing change, to avoid implying a single-cause transformation.
Making forward-looking claims or strong expectations without providing clear sources, data, or expert opinions to support them.
“सुक्खा बन्दरगाह निर्माणपछि यो क्षेत्रको कायापलट हुने अनुमान गरिएको छ । यिनै कुराले गुरुङको मन निकै हर्षित हुन्छ ।” The article states that a 'kāyapalat' (complete transformation) is expected after the dry port is built, but does not specify who made this estimate, on what basis, or with what data. It is framed as a general assumption rather than clearly attributed analysis.
Attribute the estimate to specific actors: “स्थानीय जनप्रतिनिधि र व्यवसायीहरूको अनुमान छ कि...” or “योजना आयोगका अधिकारीहरूका अनुसार...”
Briefly mention the basis for the expectation (e.g., projected trade volume, connectivity to specific markets, comparative examples from other dry ports).
Alternatively, soften the certainty: “कयौँ स्थानीयले आशा व्यक्त गरेका छन् कि सुक्खा बन्दरगाह निर्माणपछि यहाँको आर्थिक गतिविधि बढ्न सक्छ।”
Presenting information in a way that emphasizes positive aspects and downplays or briefly mentions ongoing problems, which can subtly bias readers’ perception.
The article repeatedly highlights improvements: roads blacktopped, embankments built, bridges constructed, banks opened, literacy rate, export of vegetables, expected irrigation, etc. Ongoing problems (e.g., “हालका वर्षमा पनि नदी किनारका केही बस्तीहरु वर्सेनि बाढी पसेर डुबान भइरहन्छन् ।”) are mentioned but not explored in depth or balanced with critical perspectives (e.g., remaining vulnerabilities, implementation delays, or local grievances).
Include more detail on remaining challenges: frequency and impact of current floods, any displacement still occurring, or gaps in services.
Add voices of residents who may be less satisfied or who highlight unresolved issues, to balance the overwhelmingly positive narrative.
Use more neutral summary sentences that acknowledge both progress and persisting problems, e.g., “यद्यपि विगतको तुलनामा अवस्था धेरै सुधारिएको भए पनि नदी किनारका बस्तीहरू अझै पनि बाढीको जोखिममा छन् र पूर्वाधार विस्तारसँगै नयाँ चुनौतीहरू पनि देखिएका छन्।”
- 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.