by Sentimenti Team | Aug 21, 2024 | Politics and Social
On Platform X, The New York Times (NYT) has swept the post: „Donald Trump has boasted that, if he returns to office, he will dispatch forces to patrol the border, suppress protests and fight crime. His vision of using the military to enforce the law domestically would carry profound implications for civil liberties.”
Let’s take a look at the emotion in the comments under this post:
Sentiment in reader comments
We investigated what sentiment this post triggered in the audience – users of Platform X. For this purpose, we analyzed the comments posted under the NYT entry. In addition to the quantitative structure, we measured the intensity level of the sentiment expressed in the comments. The average intensity of negative sentiment was significantly higher than the average intensity of positive sentiment.
This simple measurement, however, does not answer the fundamental question: what did the readers-consumers of the NYT specifically feel when they read the posted entry. What emotion did the text evoke in them and does it matter in the evaluation. Only an in-depth analysis conducted in terms of measuring individual emotions provides an answer to such a question.
Dominant emotions in reader comments
The emotions we can measure include anger, fear, anticipation, surprise, trust, sadness, disgust, or joy. They are both components of positive or negative sentiment. Therefore, only the measurement of their intensity shows what we can expect from the behavior of their “owners.” After all, we react dramatically differently when we feel sadness (withdrawal) and when we feel anger (action). By merely concluding that negative sentiment prevails, we can infer very little. But to the point:
In the case studied, the dominant influence on the level of intensity of positive sentiment was the emotion of anticipation. Its intensity varied depending on the content of the comment and ranged from 10% to 58%.
In the case of negative sentiment – its level was decisively influenced by the emotion of anger expressed in the comments. Its intensity, as in the case of expectation, varied, ranging from 14% to 87%.
As can be seen from these measurements, the intensity of anger was stronger than the intensity of expectation in all cross-sections, and this built the overall negative perception of the information contained in the NYT entry.
Arousal – a measure of the involvement of comment authors
In addition to analyzing sentiment and the individual emotions that make it up, arousal was also measured, which was saturated with the content of readers’ comments. Stimulation most simply shows the level of engagement with which content authors express themselves. In this case, the average intensity of arousal remained very high reaching 59%.
In the case of arousal, too, there is a wide variation – a reflection of the commitment with which the individual author of the commentary expressed himself. The range of arousal intensity was from 42% to 83%. This, as well as the average intensity value, shows that the NYT entry triggered the need for readers to respond saturated with a very high layer of engagement.
Conclusion
Measuring sentiment alone is not enough to conclude how the author or authors will behave. Anger, present in the comments analyzed, suggests a strong commitment for the commenters, even indicating a desire to change the situation, an impulse to action triggered by the message. If, on the other hand, the dominant emotion was sadness, also seen in the category of negative sentiment. The conclusions could be quite different – indicating withdrawal of the majority of commenters, resignation and reluctant but acceptance of the state of affairs.
From an analysis of sentiment alone, all this will not be deduced and, most importantly, we will not learn about the future intentions of the recipient, reader or commenter, measuring only his mood, without going deeper, into emotions.
by Sentimenti Team | May 23, 2023 | Market research, Politics and Social
Politics, emotions and polls are closely intertwined. Politicians of parties vying for seats in the upcoming parliamentary elections are trying to reach potential voters through all available channels. They are, of course, also using social media for this purpose.
Emotions in tweets by leaders of political groups (anger and trust)
One of the channels that politicians use to convey their opinions, but also the substantive elements of their election programs, is Twitter. Individual posts on the Twitter accounts of the following politicians were analyzed for the period April 11 to May 10, 2023:
- Adrian Zandberg,
- Szymon Hołownia,
- Mateusz Morawiecki,
- Zbigniew Ziobro,
- Władysław Kosiniak – Kamysz,
- Robert Winnicki,
- Donald Tusk.
It was investigated what emotions they were and how they might be perceived by Twitter users. The analysis involved measuring the intensity of selected emotions of anger and trust. Individual analysis results were published periodically on our accounts: Twitter and Facebook.
The activity of politicians on Twitter varied, but most importantly, the intensity of anger and trust that their posts evoked varied. The chart below shows collectively the values of the average intensity of the indicated emotions over the entire period under study.
Only the entries of Mateusz Morawiecki and Donald Tusk evoked higher trust over anger. Close to balanced were the entries of Wladyslaw Kosiniak-Kamysz, where anger and trust occurred at similar intensities. In the case of the remaining politicians, the emotion of anger far outweighed trust. We emphasize it was not the task of the analysis to assess the substantive content of the entries, but to measure the intensity of the emotions they evoked.
Emotions in leaders’ tweets vs. poll results
The results of polls are a product of both the substantive content of programs, speeches, publications, but also undoubtedly the emotions they evoke in the audience, i.e. potential voters. We asked ourselves whether it was possible to find a correlation between the emotions evoked by the tweets of political party leaders and the results of published polls. We based our research on surveys by the Institute for Market and Social Research IBRiS:
In the case of the United Right, the May 17, 2023 poll recorded a 1.5% drop in support compared to the April 11, 2023 results. During this period (which the poll covered), an increase in the intensity of anger with a concomitant decrease in trust was noted in the entries of the group’s leaders. The reason for this – as the results of measuring the intensity of anger and trust showed – may have been the tweets published on Zbigniew Ziobra’s account.
At the same time, the Civic Coalition recorded a nearly 2% increase in support. Whether and what impact Donald Tusk’s Twitter posts had on this situation is difficult to judge. However, it can be noted that the increase in poll support occurred in parallel with an increase in the intensity of emotions of trust in the statements published by the politician.
Looking at the emotions evoked by the tweets of Szymon Holownia and Wladyslaw Kosiniak-Kamysz, one can ask the question – is it thanks to the latter’s balanced statements that the PL2050 + PSL bloc recorded a slight increase in support? The question is legitimate, since in Szymon Holownia’s tweets one can notice a significant disproportion in the saturation of emotions of anger and confidence.
In the case of the Confederation and Left support polls, it can be noted that one of the factors in the lack of growth (Left) and decline in support (Confederation) in the May 17, 2023 poll may also have been a decline in audience trust in the content published on Twitter by the leaders of these formations.
The emotions that parties and politicians arouse in voters are important
Observing the Polish political scene, it is hard to resist the impression that the “actors” on it use the simplest tools to influence the audience. So what if they can have the best political and social programs, etc. if they don’t know (after all, hardly anyone measures emotions):
- How to present your program, your vision in a way that inspires confidence,
- That one should control negative emotions (in this case, anger). Too strongly and too insistently politicians try to “play” on negative emotions.
Looking at the results of emotion analysis and survey results, we should conclude that it is worthwhile to study emotions, and just as worthwhile to bet on positive emotions. It is worth monitoring emotions in spontaneous statements, and not just conducting surveys, because in the latter the respondent thinks about his emotions, rather than expressing them.
Part of the political scene trusts Sentimenti. By commissioning it to conduct regular surveys, it seems to be doing well at it.
by Sentimenti Team | Nov 22, 2022 | Categorising comments, Market research, SentiBrand
As a strategic global partner of Statista®, we regularly study industries. We publish the results in the form of periodic reports or as requested by the client. They are of great interest among the surveyed companies, as well as their customers.
We have prepared a commercial report analyzing the intensity of emotions evoked among service users by the activities of Polish mobile operators in the period from January 2022.
What you will learn from the report:
- how my company compares to the competition,
- which services cause the most irritation and anger,
- which services your customers love,
- analysis of specific comments for each emotion.
Who was written about the most
The study examined more than 250,000 Polish-language comments and opinions found on the profiles of Play, Orange, T-Mobile, Plus, Nju Mobile, Lajt Mobile, Mobile Vikings and Virgin Mobile. They were posted on Facebook from January 2022.
For starters – the sentiment
The chart shows the differences in the intensity of negative sentiment, positive sentiment and emotional arousal of an operator compared to the other seven companies. In other words, for example, the negative sentiment around operator 1 was 52% higher than the average sentiment measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
Emotions are more important
The chart shows the differences in the intensities of the selected four emotions in the discussion on a given company’s profile compared to the other seven. That is, similar to sentiment, for example, the intensity of the emotion of anger measured for operator 1 was 39% higher than the average intensity of this emotion measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
What else you can find in the report
The analyses indicated above are only a small part of the report. It further includes:
- analysis of the total number of mentions,
- analysis of the average intensity of sentiment and arousal for each operator,
- analysis of the average intensity of basic emotions for each operator,
- an analysis of mentions broken down into operator comments and Internet user comments,
- analysis of sentiment and arousal for operator and Internet user comments,
- analysis of contexts and themes in opinion content by emotion (e.g., anger and joy), separately for each operator.
- the most prominent comments in terms of stimulated emotions.
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Use our information to improve communication with your customers and improve your service. We can update reports at any set period (even daily).
Our analysts will help you interpret the data so that you get the most out of the information that is important to you and your company…. Get back to us!
by Sentimenti Team | Sep 18, 2022 | Market research, SentiBrand
Analyzing sentiment in the comments and opinions that swarm social media helps uncover what is essential for marketing departments and beyond. It helps track business performance based on customer and product satisfaction information and manage brand reputation online.
Sentiment. Do online comments matter?
The skill is in knowing how to take advantage of customer reviews and comments, which are abundant online. However, it is difficult to extract the ones that are relevant from all the online chatter. Every day there is a whole lot of conversation on social media about services, companies and products.
Social media is a very important space in business development today. It is one of the most cost-effective ways to conduct market research by analyzing customer opinions, and on top of that, it is time-efficient. It allows you to engage with customers – both current and potential – in a valuable way.
This is essential in the process of branding and resolving any negative or sensitive issues as quickly as possible. When we analyze sentiment in social media comments, we get express insights into various aspects of the business that ultimately affect profits.
These include the pros and cons of a product or service, changing market preferences, after-sales service and many other parameters. Today, up to 70% of companies use insights and knowledge from social media reviews to formulate brand strategy, and more than 60% find sentiment analysis data in reviews extremely useful for effective ongoing customer service and sales.
Sentiment analysis is a stepping stone to customer experience analysis and is done through machine learning (ML) models. These include neural networks, natural language processing (NLP), thematic categorization and finally sentiment and emotion analysis.
What does the knowledge coming from the network allow?
Here are some of the most important ways for companies to use sentiment analysis on comments. These include extracting in-depth information about customers and products, discovering emerging market trends, making sales or increasing market share. These include:
- Monitoring overall customer satisfaction;
- Improving the customer experience;
- Getting real-time consumer insights;
- Identifying emotional triggers in customers;
- Improving products and services;
- Building brand loyalty;
- Reducing customer churn;
- Training customer service employees;
- Training chatbots;
- Managing brand reputation;
- Monitoring changes in sentiment over time;
- Improving marketing content published on social media;
- Gaining competitive intelligence;
- Preparing for changes in market trends.
Branding is the focal point of all marketing efforts when it comes to products and services, so studying its image is about understanding how it is perceived by those who use those products or services. It’s also a way to learn the opinions of those who value the competition more.
Branding is basically a psychological phenomena created and designed by marketing to influence consumer preferences and buying behavior. It is the face of a company and the outer shell that the world sees.
Sentiment analysis. Examine your image!
Sentiment analysis helps companies capture what their customers are really saying about them by analyzing the feedback consumers use to express their feelings and emotions in published reviews. Whether these sentiments are positive, neutral, or negative, in the digital age it is important to use this to align your business with market trends
Consumer opinions are essential to understanding a brand. Companies can learn from consumer opinions to improve customer experience and create or change operating strategies.
Sentiment analysis can help a company examine its brand by:
- Discovering what motivates customers and stimulates purchase intentions, or fosters dissatisfaction;
- assessing the impact of marketing campaigns and creative strategies on consumer perception;
- understanding consumer opinions on product price, quality, reliability, user experience, etc.; and
- benchmarking against competing products, services, and brands;
- analyzing and comparing different consumer segments and share of voice.
The three main ways consumers express their feelings and opinions about a brand? They are product reviews, consumer surveys and social media posts.
The challenge for marketers is to collect, analyze and summarize these myriad opinions. This must be done in such a way that their results are understandable and actionable.
Using both topic-based sentiment analysis and machine learning and artificial intelligence, Sentimenti can help analyze customer sentiment and opinions.
It doesn’t matter if it’s qualitative or quantitative research. An important part of branding is understanding what’s behind the content of comments. By doing so, you can gain deeper insights into the minds of consumers or prospective customers, and that’s another step to improving your offerings.
by Patryk Le The | Nov 30, 2021 | Categorising comments, Politics and Social, Sentimenti research
Progressive climate change is already visible with the naked eye. In Poland, weather anomalies such as droughts, tornadoes or cloudbursts appear more and more frequently. Especially the latter have become a scourge of the last several weeks: as a result of excessive rainfall many regions of Poland, especially in the south, have been flooded. When in 1997. When the then prime minister Włodzimierz Cimoszewicz, when asked about compensation for flood victims, stated that it was necessary to insure oneself, this (seemingly) obvious issue almost cost him his position, and as a result of the unfortunate statement, his party lost the upcoming elections. How is it today? We checked what Internet users say about insurers in the context of the flood.
Circumstantial opinions about the industry
The insurance industry for a long time aroused mixed feelings among Poles. As a part of the financial industry it enjoyed low social trust for several reasons: this result was sustained by reluctant payments of claims, their amount, the way of calculating premiums, long-lasting and incomprehensible claim validation procedures, etc.
Only the change of the above determinants combined with the increase of social awareness and understanding of the impact of the insurance industry on social and economic security of Poland resulted in gradual but regular increase of confidence in the insurance sector.
Today, the offer of insurers covers a very wide area and Poles themselves insure much more willingly. Although not as willingly as people in Western Europe (in Poland, additional insurance is still seen as a luxury), but the increase in the number of countrymen insuring their life and property is noticeable. In addition, their consumer awareness is also growing, as evidenced by the popularity of various types of insurance comparison sites, ranking machines, etc. and, consequently, changing the insurer to one that offers more favorable terms.
Insurance and floods: a controversial topic
Two catastrophic events, the floods of 1997 and 2010, had an impact on the increased awareness of Poles of the need for flood insurance. This awareness extended not only to the necessity of insuring against the devastating effects of nature, but also to the circumstances surrounding the policies in question: insurance rules, rates and payments due to flood damage.
Poles are now more willing to find out which buildings can be insured and which will be excluded by the insurer, what risk assessment criteria are used in the event of flooding, and to check the properties they buy from this point of view – the low price is no longer an indicator of the attractiveness of a plot of land or of a construction project (e.g. a house, a terraced house etc.), but has become a warning light – buyers check such offers in the flood database with the knowledge that an appraiser from the insurance company will also carry out an analogous procedure.
And there is a lot to fight for: in case of a flood, the insurance may cover not only the losses caused to the property itself, but also to its attached outbuildings and movable equipment: furniture, household appliances, works of art, plants, interior decoration (floors), items used for business activities (e.g. machinery), etc.
Finally, it is worth mentioning that apart from the growing awareness of consumers and effective sales work of insurance agents, there is another aspect – legal regulations. Since 2003, it has been obligatory for farmers with a farm of more than 1 ha to insure themselves against natural disasters. However, according to the insurers’ data, the policy covers mainly residential and farm buildings (90% of farms). In 2020, only 30% of farmers insured their crops and livestock against natural disasters.
The government’s policy plays a major role in this situation – it pays out targeted benefits to help the most affected regions or municipalities, regardless of whether a given household is insured or not. These benefits cover both reconstruction of destroyed houses and temporary support. In part, they make Poles insure themselves only to the mandatory extent.
Insurance. How do internet users discuss them?
We decided to take a look at the emotions that insurance companies and the issue of flood and flood-related repair evoke in the Polish Internet. We checked and researched articles, posts, comments etc. between June and August (15.08) of this year. To begin with, we confronted with each other two simple phrases – “insurance” and “compensation”. This allowed us to get a general idea of the mood of Internet users and the context of mentions (e.g. on forums or web portals) concerning the insurance industry.
Figure 1: Dynamics of mentions of the phrases “insurance” and “compensation” in the period 06-08-2021.
Let’s take a look at the chart: it shows the intensification of insurance discussions in the period 12-26 June and 14-24 July this year, with much less intensity in the phrase “compensation”. The basis of these discussions was, among other things, the catastrophic weather situation in Europe and partly in Poland: a tornado with winds blowing at a speed of over 300 km/h (!) passed over the Czech Moravia, there were also hailstorms, including in Poland – in Tomaszów Mazowiecki the diameter of hailstones amounted to as much as 13.5 cm.
Similar hailstorms occurred in Italy and Switzerland. In addition, thunderstorms and storms caused devastating floods in Belgium, the Netherlands and – above all – in Germany. Slightly weaker, but also powerful rainfall and windstorms were recorded at that time in the country, including Kujawy, central Poland (Lodz), Lesser Poland (Małopolska), Silesia and Podkarpacie.
For these reasons, dozens of articles, analyses, news and reports appeared on the Internet, but also heated discussions under the articles, on forums and in social media: there were requests for help to victims of flooding, criticism of sly car traders hunting for the so-called. There were also intensive criticisms of the government’s assistance to the victims in the context that the victims should have insured themselves earlier, and not now beg for help from the state budget (i.e. “FROM OUR TAXES”). Part of this context were comments on crop losses suffered by farmers.
Part of the discussion also referred to the state of flood protection in the country, with commentators criticizing the government’s ad hoc actions, ineptitude and lack of long-term plans. Finally, the media in general used the opportunity to recall the tragic floods of the past years, which effectively heated the atmosphere of public opinion and the temperature of various discussions.
The temperature of water, or discussants in emotion
Our next activity was to determine the average of the most important emotions of the discussion, and then to show the dynamics of change of these emotions during the period studied. Let’s look at the graph – it perfectly shows the whole situation:
Figure 2: Averaged emotions in discussions with anger, joy, anticipation, and surprise indicated.
The results obtained in the study were basically to be expected. In the graph we see a high level of anger and a similar level of surprise; there is even some overlap in the dynamics of the two emotions. The peaks indicate the intensity of discussion during the period of natural disasters. The level of joy is of course also unsurprising, while it is interesting to note that the joy and expectation graphs coincide in terms of dynamics. This is most likely caused by the reaction to the actions taken by the authorities and, at the same time, hope for a change in the situation.
Insurance. Do internet users have sentiment for the companies?
Nowadays, a popular solution in the market for content analysis using artificial intelligence is the analysis of texts for the sentiment contained in the utterances. Sentiment analysis is also a part of our offer, however, it is only one of the elements of cross-sectional content analysis: without taking into account emotions and the level of emotional arousal, sentiment analysis gives incomplete results, which can also be misinterpreted – two so-called negative emotions (e.g. sadness and anger) will cause the sentiment of an utterance to be determined as negative. Meanwhile, these emotions are significantly different from each other – their impact on the person feeling them will cause different types of behavior (anger – attack, sadness – freeze or flee).
As stated above, as part of the analysis, we also conduct a sentiment study of the text under review. For the purposes of this article, we conducted such a study on a sample of 7901 mentions. Here, too, there were no surprises – insurance companies are not given sentiment by internet users, although we should have said otherwise – the dynamics of mentions indicates the significant presence of negative sentiment. Let’s take a look at the chart:
Figure 3: Sentiment dynamics in mentions of insurance during the study period.
What we see is an intense discord between the number of negative and positive mentions: the dominant sentiment towards the topic is minor, and the dynamics of the negative sentiment is basically inversely proportional to the positive sentiment; the moment when this dynamics is particularly well visible is between 25.06 and 7.07.
Significantly (and this trend is repeated across survey stages and is confirmed in the mentions we collected), much of the negative sentiment about flood insurance is driven by commenters’ anger directed at the uninsured who are demanding that the authorities compensate them for their material losses. Mentions also indicate the frustration, anger and disgust of Internet users with the authorities in general – not only for paying targeted benefits to the victims, but also for systemic negligence in water management and flood control policy.
Finally, a large part of the statements are reminiscences of Internet users about unfortunate speeches of politicians (lack of empathy), misguided visits to disaster sites (only to improve their own image) and statements of a political trolling nature: Internet users leave malicious, often hateful comments about previous governments and their various moves, e.g., migration and foreign policy, migration and foreign policy, and the policy of the Polish government. Internet users leave malicious, often hateful comments about the previous governments and their various policies, such as migration and foreign policy, and criticize the victims for certain political choices – disasters particularly affect areas considered to be bastions of the current government, although these areas are most vulnerable to flooding, waterlogging and floods.
A word of summary
The above analysis of publications and discussions found on the Internet showed us that the topic of insurance in general, and in the context of natural disasters in particular, is still controversial and stirs up a lot of emotions among Poles. First of all, because the progressing climate change causes more and more frequent occurrence of such weather anomalies as tornadoes or flash floods, which are widely commented on in social media, forums, articles and news.
Insurance companies are still not very trusted, although the trend of them building a positive image is growing. They are hindered by … their fellow countrymen, who insure themselves to a minimum extent and usually when required by law. On top of that, according to internauts, there are high premium prices and often difficult loss adjustment procedures. The icing on the cake is the belief that flooding or similar damage caused by a natural disaster will not happen to “us”.
Finally, the government and local governments are not helping insurers to change the current situation. This context is evident from the huge number of mentions – it is emotionally charged and generates a lot of negative emotions – mainly anger, but also fear and surprise. It is little consolation that people who have already experienced a loss of property take care of proper insurance.
Methodology
The study used content obtained through internet and social media monitoring.
- Number of mentions and comments examined: 7991
- Study period: June 1 – August 15, 2021.
- Number of unique discussion sites: 179
- Discussion sites and number of views surveyed. news portals: 6287; Facebook: 1237; Forums and blogs: 223; YouTube: 120; Twitter: 94, Other: 30